----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  E:\PHD\Research\Ideological Asymmetry and Public Attitudes Toward Redistribution\Data\Lucid Data\Replication data\conjoint_analysis.log
  log type:  text
 opened on:  14 Oct 2024, 16:54:20

. //This file replicates the results reported in "Understanding Public Attitudes toward Redistribution: Analysis by Ideological Subgroups" (Qi, Public Opinion Quarterly).
. //updated 10-14-24
. 
. //Program setup
. version 18

. clear all

. set linesize 90

. macro drop _all

. set scheme s1mono

. set more off

. set level 95

. 
. use conjoint_data.dta, clear

. des

Contains data from conjoint_data.dta
 Observations:        29,484                  
    Variables:            87                  21 Aug 2023 10:58
------------------------------------------------------------------------------------------
Variable      Storage   Display    Value
    name         type    format    label      Variable label
------------------------------------------------------------------------------------------
id              long    %17.0g     id         Respondent
expand          float   %9.0g                 Profile identifier
program_choice  float   %19.0g     choice     Program choice
cat_a_trans     float   %26.0g     Transition_description
                                              Transition description
cat_a_distri    float   %32.0g     cat_a_distri
                                              Distributive result of this policy
cat_a_tax       float   %30.0g     cat_a_tax
                                              Tax burden distribution of this policy
cat_a_cost      float   %11.0g     cat_a_cost
                                              cost attribute
a_desc_imre     float   %9.0g                 All private health insurance immediately
                                                replaced by Medicare
a_desc_phut     float   %9.0g                 Private health insurance phased out over
                                                five years, replaced by Medicare
a_desc_comp     float   %9.0g                 Medicare competes with private insurance as
                                                a public option
a_dis_pro_one   float   %9.0g                 Lower-income citizens benefit most from this
                                                program
a_dis_pro_two   float   %9.0g                 Lower- and middle-income citizens benefit
                                                most from this program.
a_dis_propo     float   %9.0g                 All income groups benefit equally from this
                                                program
a_dis_reg_one   float   %9.0g                 Higher- and middle-income citizens benefit
                                                most from this program
a_dis_reg_two   float   %9.0g                 Higher-income citizens benefit most from
                                                this program
a_tax_pro_one   float   %9.0g                 The government collects a higher percentage
                                                of total earnings from higher-income
a_tax_pro_two   float   %9.0g                 The government collects a higher percentage
                                                of total earnings from higher- and m
a_tax_propo     float   %9.0g                 The government takes the same percentage of
                                                income from all income groups
a_tax_reg_one   float   %9.0g                 The government collects a higher percentage
                                                of total earnings from lower- and mi
a_tax_reg_two   float   %9.0g                 The government collects a higher percentage
                                                of total earnings from lower-income
a_cost_2        float   %9.0g                 $2 trillion
a_cost_3        float   %9.0g                 $3 trillion
a_cost_4        float   %9.0g                 $4 trillion
a_cost_6        float   %9.0g                 $6 trillion
ideology        long    %17.0g     ideology   Ideology
ideo3           long    %12.0g     ideo3      Ideology (3-category)
libcon          long    %12.0g     libcon     Liberal or conservative
pid_7           float   %17.0g     pid_7      Party identification (7-point)
pid_3           float   %11.0g     pid_3      Party identification (3-point)
demrep          float   %10.0g     demrep     Democrat or Republican
income          long    %19.0g     income     Income
income3         long    %15.0g     income3    Income (3-category)
female          float   %9.0g      female     Female
age_ordinal     long    %9.0g      age        Age (6-category scale)
white           float   %9.0g      white      White
educ_new        float   %48.0g     educ_new   Education
mipscreener_p~s float   %9.0g                 Passed most important problem screener
newspaperscre~s float   %9.0g                 Passed newspaper screener
wwiscreener_p~s float   %9.0g                 Passed WWI/WWII screener
neitherscreen~s float   %9.0g                 Passed 'neither' screener
screener_count  float   %9.0g                 Number of screeners passed
screener_3plus  float   %9.0g                 Passed 3 or 4 screeners
screener_2plus  float   %9.0g                 Passed 2-4 screeners
startdate       strL    %9s                   StartDate
enddate         strL    %9s                   EndDate
status          strL    %9s                   Status
ipaddress       strL    %9s                   IPAddress
progress        strL    %9s                   Progress
durationinsec~s strL    %9s                   Duration (in seconds)
finished        strL    %9s                   Finished
recordeddate    str83   %83s                  RecordedDate
responseid      strL    %9s                   ResponseId
introic         strL    %9s                   intro/ic
mipscreener_1   str22   %22s                  MIP screener_1
mipscreener_2   str22   %22s                  MIP screener_2
mipscreener_3   str22   %22s                  MIP screener_3
mipscreener_4   str22   %22s                  MIP screener_4
mipscreener_5   str22   %22s                  MIP screener_5
mipscreener_6   str22   %22s                  MIP screener_6
mipscreener_7   str22   %22s                  MIP screener_7
newspaperscre~r strL    %9s                   Newspaper screener
wwineitherscr~1 str26   %26s                  WWI/neither screener_1
wwineitherscr~2 str26   %26s                  WWI/neither screener_2
wwineitherscr~3 str26   %26s                  WWI/neither screener_3
wwineitherscr~4 str26   %26s                  WWI/neither screener_4
wwineitherscr~5 str26   %26s                  WWI/neither screener_5
wwineitherscr~6 str26   %26s                  WWI/neither screener_6
wwineitherscr~7 str26   %26s                  WWI/neither screener_7
gender          str20   %20s                  
age             long    %10.0g                
educ            str20   %20s                  
race            str20   %20s                  
faminc          str20   %20s                  
employ          str20   %20s                  
attention       str20   %20s                  
ideo            str20   %20s                  
party           str20   %20s                  
strongd         str20   %20s                  
strongr         str20   %20s                  
lean            str20   %20s                  
timepreexp      str25   %25s                  
q_totalduration str30   %30s                  Q_TotalDuration
pro_result      float   %9.0g                 Progressive distributive result (any)
reg_result      float   %9.0g                 Regressive distributive result (any)
pro_tax         float   %9.0g                 Progressive tax burden (any)
reg_tax         float   %9.0g                 Regressive tax burden (any)
date_end        double  %tc                   date_end
------------------------------------------------------------------------------------------
Sorted by: date_end

. 
. //Figure 1
. reg program_choice i.cat_a_trans b3.cat_a_distri b3.cat_a_tax i.cat_a_cost if screener_2
> plus==1&ideo3==1, cluster(id) 

Linear regression                               Number of obs     =      7,308
                                                F(13, 405)        =      53.84
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1082
                                                Root MSE          =     .47264

                                              (Std. err. adjusted for 406 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |   -.000307   .0140449    -0.02   0.983     -.027917    .0273031
Competed with each o..  |   -.014802   .0152149    -0.97   0.331    -.0447121    .0151082
                        |
           cat_a_distri |
  Lower income benefit  |   .0375233   .0199785     1.88   0.061    -.0017512    .0767978
Lower and middle inc..  |   .0626426   .0197776     3.17   0.002      .023763    .1015222
Higher and middle in..  |  -.1888366   .0197124    -9.58   0.000     -.227588   -.1500852
 Higher income benefit  |  -.2883596   .0187191   -15.40   0.000    -.3251584   -.2515609
                        |
              cat_a_tax |
   Higher inc pay more  |   .0959694   .0187642     5.11   0.000     .0590821    .1328567
Higher and middle in..  |   .0693197    .019248     3.60   0.000     .0314812    .1071582
Lower and middle inc..  |  -.1021631   .0197977    -5.16   0.000    -.1410823    -.063244
    Lower inc pay more  |  -.1170183   .0187586    -6.24   0.000    -.1538948   -.0801419
                        |
             cat_a_cost |
           $3 trillion  |      .0032   .0160365     0.20   0.842    -.0283252    .0347252
           $4 trillion  |  -.0240474   .0160458    -1.50   0.135    -.0555909    .0074961
           $6 trillion  |  -.0329419   .0168668    -1.95   0.052    -.0660993    .0002155
                        |
                  _cons |   .6050234   .0213997    28.27   0.000      .562955    .6470918
-----------------------------------------------------------------------------------------

. est sto Liberal

. margins i.cat_a_trans i.cat_a_distri i.cat_a_tax i.cat_a_cost, post

Predictive margins                                       Number of obs = 7,308
Model VCE: Robust

Expression: Linear prediction, predict()

-----------------------------------------------------------------------------------------
                        |            Delta-method
                        |     Margin   std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
  Immediately replaced  |   .5050114   .0086926    58.10   0.000     .4879232    .5220997
Phased out over five..  |   .5047045   .0083514    60.43   0.000     .4882871    .5211219
Competed with each o..  |   .4902095   .0089572    54.73   0.000     .4726011    .5078179
                        |
           cat_a_distri |
  Lower income benefit  |   .6128436   .0123335    49.69   0.000     .5885979    .6370893
Lower and middle inc..  |   .6379629    .012104    52.71   0.000     .6141683    .6617575
All income groups be..  |   .5753203   .0127395    45.16   0.000     .5502765    .6003641
Higher and middle in..  |   .3864837   .0120096    32.18   0.000     .3628747    .4100927
 Higher income benefit  |   .2869607   .0122935    23.34   0.000     .2627936    .3111278
                        |
              cat_a_tax |
   Higher inc pay more  |   .6074414   .0121272    50.09   0.000     .5836013    .6312815
Higher and middle in..  |   .5807917   .0123569    47.00   0.000        .5565    .6050834
All inc groups pay e..  |    .511472   .0124449    41.10   0.000     .4870073    .5359367
Lower and middle inc..  |   .4093089   .0122675    33.37   0.000      .385193    .4334248
    Lower inc pay more  |   .3944537   .0118653    33.24   0.000     .3711283     .417779
                        |
             cat_a_cost |
           $2 trillion  |   .5132197   .0102915    49.87   0.000     .4929883     .533451
           $3 trillion  |   .5164197   .0101128    51.07   0.000     .4965395    .5362998
           $4 trillion  |   .4891722   .0098862    49.48   0.000     .4697376    .5086068
           $6 trillion  |   .4802778   .0103471    46.42   0.000      .459937    .5006185
-----------------------------------------------------------------------------------------

. est sto Liberalm

. reg program_choice i.cat_a_trans b3.cat_a_distri b3.cat_a_tax i.cat_a_cost if screener_2
> plus==1&ideo3==3, cluster(id)

Linear regression                               Number of obs     =      7,182
                                                F(13, 398)        =      40.48
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0747
                                                Root MSE          =     .48142

                                              (Std. err. adjusted for 399 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |   .0179714    .014574     1.23   0.218    -.0106803     .046623
Competed with each o..  |   .1028741   .0167603     6.14   0.000     .0699242    .1358239
                        |
           cat_a_distri |
  Lower income benefit  |  -.0209551   .0198173    -1.06   0.291    -.0599148    .0180046
Lower and middle inc..  |   .0518897   .0191754     2.71   0.007      .014192    .0895875
Higher and middle in..  |  -.1118421   .0201018    -5.56   0.000    -.1513612   -.0723231
 Higher income benefit  |   -.219247   .0200246   -10.95   0.000    -.2586142   -.1798798
                        |
              cat_a_tax |
   Higher inc pay more  |  -.0147661   .0195762    -0.75   0.451    -.0532518    .0237196
Higher and middle in..  |  -.0320787   .0202739    -1.58   0.114    -.0719361    .0077787
Lower and middle inc..  |   -.139414   .0199236    -7.00   0.000    -.1785827   -.1002453
    Lower inc pay more  |  -.1347925   .0209541    -6.43   0.000    -.1759871   -.0935979
                        |
             cat_a_cost |
           $3 trillion  |  -.0622967   .0163533    -3.81   0.000    -.0944463   -.0301471
           $4 trillion  |  -.0952305   .0165273    -5.76   0.000    -.1277222   -.0627388
           $6 trillion  |  -.1700866   .0187893    -9.05   0.000    -.2070253    -.133148
                        |
                  _cons |   .6643102   .0225822    29.42   0.000     .6199149    .7087055
-----------------------------------------------------------------------------------------

. est sto Conservative

. margins i.cat_a_trans i.cat_a_distri i.cat_a_tax i.cat_a_cost, post

Predictive margins                                       Number of obs = 7,182
Model VCE: Robust

Expression: Linear prediction, predict()

-----------------------------------------------------------------------------------------
                        |            Delta-method
                        |     Margin   std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
  Immediately replaced  |   .4597173   .0091958    49.99   0.000      .441639    .4777957
Phased out over five..  |   .4776887   .0087336    54.70   0.000     .4605189    .4948585
Competed with each o..  |   .5625914    .009545    58.94   0.000     .5438265    .5813563
                        |
           cat_a_distri |
  Lower income benefit  |   .5391481   .0127283    42.36   0.000     .5141249    .5641713
Lower and middle inc..  |   .6119929   .0125502    48.76   0.000     .5873199    .6366659
All income groups be..  |   .5601032   .0126272    44.36   0.000     .5352789    .5849275
Higher and middle in..  |   .4482611   .0127127    35.26   0.000     .4232686    .4732536
 Higher income benefit  |   .3408562   .0130288    26.16   0.000     .3152423    .3664701
                        |
              cat_a_tax |
   Higher inc pay more  |   .5482301   .0122575    44.73   0.000     .5241326    .5723276
Higher and middle in..  |   .5309175   .0121682    43.63   0.000     .5069955    .5548395
All inc groups pay e..  |   .5629963   .0130271    43.22   0.000     .5373856    .5886069
Lower and middle inc..  |   .4235822   .0124701    33.97   0.000     .3990666    .4480978
    Lower inc pay more  |   .4282037   .0131213    32.63   0.000     .4024079    .4539995
                        |
             cat_a_cost |
           $2 trillion  |   .5814935   .0107296    54.20   0.000     .5603997    .6025872
           $3 trillion  |   .5191967   .0104349    49.76   0.000     .4986822    .5397112
           $4 trillion  |    .486263   .0100434    48.42   0.000     .4665182    .5060077
           $6 trillion  |   .4114068   .0114975    35.78   0.000     .3888033    .4340103
-----------------------------------------------------------------------------------------

. est sto Conservativem

. 
. coefplot (Liberalm, label(Liberal)) (Conservativem, label(Conservative)), omitted basele
> vels drop(_cons) keep(*:) xline(0.5, lpattern(-) lcolor(black)) xlabel(.25(.1).75) msymb
> ol(O) msize(small) coeflabels(1.cat_a_trans = "Immediate replacement" 2.cat_a_trans = "P
> hasing out over years" 3.cat_a_trans = "Competition" 1.cat_a_distri = "Lower-income citi
> zens" 2.cat_a_distri = "Lower- and middle-income citizens" 3.cat_a_distri = "All income 
> groups" 4.cat_a_distri = "Higher- and middle-income citizens" 5.cat_a_distri = "Higher-i
> ncome citizens" 1.cat_a_tax = "Higher-income households" 2.cat_a_tax = "Higher- and midd
> le-income households" 3.cat_a_tax = "All income groups" 4.cat_a_tax = "Lower- and middle
> -income households" 5.cat_a_tax = "Lower-income households" 1.cat_a_cost= "$2.4 trillion
> " 2.cat_a_cost= "$3.2 trillion" 3.cat_a_cost= "$4.3 trillion" 4.cat_a_cost= "$6.2 trilli
> on", labsize(small)) headings(1.cat_a_trans = "{bf:Transition from current system}" 1.ca
> t_a_distri = "{bf:This policy benefits most for}" 1.cat_a_tax = "{bf: The main contribut
> ors to tax sources are}" 1.cat_a_cost = "{bf:Total cost per year}", nogap) subtitle(, fc
> olor (gs15)) scale(0.7) xtitle({bf:Marginal Means (forced choice)}) 

. gr_edit .b2title.style.editstyle size(small) editcopy

. gr_edit .b2title.text.Arrpush Excludes least attentive respondents 

. gr export Figures/choice_ideo2_mm_2plus.png, as(png) replace
file Figures/choice_ideo2_mm_2plus.png saved as PNG format

. 
. //Formal tests
. *Hypothesis 1a&1b: Liberals are more likely than conservatives to support social policie
> s with progressive distributive results. Conservatives are more likely than liberals to 
> support social policies with regressive distributive results.
. reg program_choice i.cat_a_distri##i.libcon if screener_2plus==1, cl(id)

Linear regression                               Number of obs     =     14,490
                                                F(9, 804)         =      75.16
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0571
                                                Root MSE          =     .48569

                                              (Std. err. adjusted for 805 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           cat_a_distri |
Lower and middle inc..  |   .0257901   .0183397     1.41   0.160    -.0102093    .0617895
All income groups be..  |  -.0353324   .0203369    -1.74   0.083    -.0752521    .0045873
Higher and middle in..  |  -.2281907   .0192327   -11.86   0.000    -.2659429   -.1904384
 Higher income benefit  |  -.3253394   .0203847   -15.96   0.000    -.3653529    -.285326
                        |
                 libcon |
          Conservative  |  -.0731145   .0180282    -4.06   0.000    -.1085025   -.0377266
                        |
    cat_a_distri#libcon |
Lower and middle inc.. #|
          Conservative  |   .0466929   .0266264     1.75   0.080    -.0055727    .0989584
All income groups be.. #|
          Conservative  |   .0564808   .0285898     1.98   0.049     .0003613    .1126002
Higher and middle in.. #|
          Conservative  |   .1382699   .0283422     4.88   0.000     .0826366    .1939033
 Higher income benefit #|
          Conservative  |   .1248033   .0290316     4.30   0.000     .0678167    .1817899
                        |
                  _cons |   .6125512   .0125964    48.63   0.000     .5878254    .6372769
-----------------------------------------------------------------------------------------

. testparm i.cat_a_distri#i.libcon /*p<.01, signed in right direction*/

 ( 1)  2.cat_a_distri#1.libcon = 0
 ( 2)  3.cat_a_distri#1.libcon = 0
 ( 3)  4.cat_a_distri#1.libcon = 0
 ( 4)  5.cat_a_distri#1.libcon = 0

       F(  4,   804) =    7.53
            Prob > F =    0.0000

. di r(p) /*to show more digits*/ 
5.916e-06

. 
. reg program_choice ib5.cat_a_distri##i.libcon if screener_2plus==1, cl(id)

Linear regression                               Number of obs     =     14,490
                                                F(9, 804)         =      75.16
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0571
                                                Root MSE          =     .48569

                                              (Std. err. adjusted for 805 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           cat_a_distri |
  Lower income benefit  |   .3253394   .0203847    15.96   0.000      .285326    .3653529
Lower and middle inc..  |   .3511295   .0195394    17.97   0.000     .3127753    .3894838
All income groups be..  |    .290007   .0188258    15.40   0.000     .2530534    .3269605
Higher and middle in..  |   .0971488   .0182203     5.33   0.000     .0613837    .1329138
                        |
                 libcon |
          Conservative  |   .0516887   .0179071     2.89   0.004     .0165386    .0868389
                        |
    cat_a_distri#libcon |
  Lower income benefit #|
          Conservative  |  -.1248033   .0290316    -4.30   0.000    -.1817899   -.0678167
Lower and middle inc.. #|
          Conservative  |  -.0781104   .0288506    -2.71   0.007    -.1347418    -.021479
All income groups be.. #|
          Conservative  |  -.0683225    .027565    -2.48   0.013    -.1224305   -.0142146
Higher and middle in.. #|
          Conservative  |   .0134667   .0267287     0.50   0.615    -.0389997     .065933
                        |
                  _cons |   .2872117   .0122224    23.50   0.000     .2632202    .3112033
-----------------------------------------------------------------------------------------

. testparm ib5.cat_a_tax##i.libcon /*p<.01, signed in right direction*/

 ( 1)  1.libcon = 0

       F(  1,   804) =    8.33
            Prob > F =    0.0040

. di r(p) /*to show more digits*/ 
.00399994

. 
. *Hypothesis 2a&2b: Liberals are more likely than conservatives to support social policie
> s funded by progressive taxes. Conservatives are more likely than liberals to support so
> cial policies funded by regressive taxes.
. reg program_choice i.cat_a_tax##i.libcon if screener_2plus==1, cl(id)

Linear regression                               Number of obs     =     14,490
                                                F(9, 804)         =      26.28
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0224
                                                Root MSE          =     .49455

                                              (Std. err. adjusted for 805 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
              cat_a_tax |
Higher and middle in..  |  -.0319323   .0191966    -1.66   0.097    -.0696136     .005749
All inc groups pay e..  |  -.0967351   .0194973    -4.96   0.000    -.1350067   -.0584635
Lower and middle inc..  |  -.1980895   .0206422    -9.60   0.000    -.2386085   -.1575706
    Lower inc pay more  |  -.2185249   .0203928   -10.72   0.000    -.2585542   -.1784956
                        |
                 libcon |
          Conservative  |  -.0632856   .0178818    -3.54   0.000     -.098386   -.0281851
                        |
       cat_a_tax#libcon |
Higher and middle in.. #|
          Conservative  |   .0153207   .0267608     0.57   0.567    -.0372086      .06785
All inc groups pay e.. #|
          Conservative  |   .1129624    .028047     4.03   0.000     .0579085    .1680163
Lower and middle inc.. #|
          Conservative  |   .0770598   .0287253     2.68   0.007     .0206743    .1334452
    Lower inc pay more #|
          Conservative  |   .1015486   .0293872     3.46   0.001     .0438639    .1592333
                        |
                  _cons |   .6097724   .0126694    48.13   0.000     .5849034    .6346414
-----------------------------------------------------------------------------------------

. testparm i.cat_a_tax#i.libcon /*p<.01, signed in right direction*/

 ( 1)  2.cat_a_tax#1.libcon = 0
 ( 2)  3.cat_a_tax#1.libcon = 0
 ( 3)  4.cat_a_tax#1.libcon = 0
 ( 4)  5.cat_a_tax#1.libcon = 0

       F(  4,   804) =    5.93
            Prob > F =    0.0001

. di r(p) /*to show more digits*/ 
.00010476

. 
. reg program_choice ib5.cat_a_tax##i.libcon if screener_2plus==1, cl(id)

Linear regression                               Number of obs     =     14,490
                                                F(9, 804)         =      26.28
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0224
                                                Root MSE          =     .49455

                                              (Std. err. adjusted for 805 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
              cat_a_tax |
   Higher inc pay more  |   .2185249   .0203928    10.72   0.000     .1784956    .2585542
Higher and middle in..  |   .1865926   .0198011     9.42   0.000     .1477246    .2254605
All inc groups pay e..  |   .1217898   .0190864     6.38   0.000     .0843247    .1592549
Lower and middle inc..  |   .0204353   .0183258     1.12   0.265    -.0155367    .0564074
                        |
                 libcon |
          Conservative  |    .038263   .0179057     2.14   0.033     .0031156    .0734105
                        |
       cat_a_tax#libcon |
   Higher inc pay more #|
          Conservative  |  -.1015486   .0293872    -3.46   0.001    -.1592333   -.0438639
Higher and middle in.. #|
          Conservative  |  -.0862279   .0284247    -3.03   0.002    -.1420234   -.0304324
All inc groups pay e.. #|
          Conservative  |   .0114138   .0286269     0.40   0.690    -.0447785    .0676061
Lower and middle inc.. #|
          Conservative  |  -.0244888   .0261703    -0.94   0.350    -.0758591    .0268814
                        |
                  _cons |   .3912476     .01203    32.52   0.000     .3676336    .4148615
-----------------------------------------------------------------------------------------

. testparm ib5.cat_a_tax##i.libcon /*p<.01, signed in right direction*/

 ( 1)  1.cat_a_tax = 0
 ( 2)  2.cat_a_tax = 0
 ( 3)  3.cat_a_tax = 0
 ( 4)  4.cat_a_tax = 0
 ( 5)  1.libcon = 0
 ( 6)  1.cat_a_tax#1.libcon = 0
 ( 7)  2.cat_a_tax#1.libcon = 0
 ( 8)  3.cat_a_tax#1.libcon = 0
 ( 9)  4.cat_a_tax#1.libcon = 0

       F(  9,   804) =   26.28
            Prob > F =    0.0000

. di r(p) /*to show more digits*/ 
6.265e-40

. 
. *Hypothesis 3: Conservatives are more likely to support social policies with progressive
>  distributive results/taxes than those with regressive distributive results/taxes.
. codebook libcon

------------------------------------------------------------------------------------------
libcon                                                             Liberal or conservative
------------------------------------------------------------------------------------------

                  Type: Numeric (long)
                 Label: libcon

                 Range: [0,1]                         Units: 1
         Unique values: 2                         Missing .: 11,970/29,484

            Tabulation: Freq.   Numeric  Label
                        9,072         0  Liberal
                        8,442         1  Conservative
                       11,970         .  

. codebook cat_a_distri

------------------------------------------------------------------------------------------
cat_a_distri                                            Distributive result of this policy
------------------------------------------------------------------------------------------

                  Type: Numeric (float)
                 Label: cat_a_distri

                 Range: [1,5]                         Units: 1
         Unique values: 5                         Missing .: 0/29,484

            Tabulation: Freq.   Numeric  Label
                        5,823         1  Lower income benefit
                        5,964         2  Lower and middle income benefit
                        5,847         3  All income groups benefit
                        5,950         4  Higher and middle income
                                         benefit
                        5,900         5  Higher income benefit

. reg program_choice ib3.cat_a_distri if screener_2plus==1 &libcon ==1, cl(id)

Linear regression                               Number of obs     =      7,182
                                                F(4, 398)         =      49.57
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0371
                                                Root MSE          =     .49082

                                              (Std. err. adjusted for 399 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           cat_a_distri |
  Lower income benefit  |  -.0211483   .0201065    -1.05   0.294    -.0606766    .0183799
Lower and middle inc..  |   .0513347    .019616     2.62   0.009     .0127708    .0898985
Higher and middle in..  |  -.1110691   .0204243    -5.44   0.000     -.151222   -.0709161
 Higher income benefit  |  -.2216845   .0201472   -11.00   0.000    -.2612926   -.1820763
                        |
                  _cons |    .560585    .012735    44.02   0.000     .5355487    .5856212
-----------------------------------------------------------------------------------------

. lincom 1.cat_a_distri-4.cat_a_distri /*p<.01, signed in right direction*/

 ( 1)  1.cat_a_distri - 4.cat_a_distri = 0

------------------------------------------------------------------------------
program_ch~e | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .0899207   .0208303     4.32   0.000     .0489695    .1308719
------------------------------------------------------------------------------

. lincom 1.cat_a_distri-5.cat_a_distri /*p<.01, signed in right direction*/

 ( 1)  1.cat_a_distri - 5.cat_a_distri = 0

------------------------------------------------------------------------------
program_ch~e | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .2005361   .0206836     9.70   0.000     .1598734    .2411989
------------------------------------------------------------------------------

. lincom 2.cat_a_distri-4.cat_a_distri /*p<.01, signed in right direction*/

 ( 1)  2.cat_a_distri - 4.cat_a_distri = 0

------------------------------------------------------------------------------
program_ch~e | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1624037   .0198047     8.20   0.000     .1234688    .2013386
------------------------------------------------------------------------------

. lincom 2.cat_a_distri-5.cat_a_distri /*p<.01, signed in right direction*/

 ( 1)  2.cat_a_distri - 5.cat_a_distri = 0

------------------------------------------------------------------------------
program_ch~e | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .2730191   .0212394    12.85   0.000     .2312638    .3147745
------------------------------------------------------------------------------

. 
. codebook cat_a_tax

------------------------------------------------------------------------------------------
cat_a_tax                                           Tax burden distribution of this policy
------------------------------------------------------------------------------------------

                  Type: Numeric (float)
                 Label: cat_a_tax

                 Range: [1,5]                         Units: 1
         Unique values: 5                         Missing .: 0/29,484

            Tabulation: Freq.   Numeric  Label
                        5,951         1  Higher inc pay more
                        5,946         2  Higher and middle inc pay more
                        5,808         3  All inc groups pay equally
                        5,885         4  Lower and middle inc pay more
                        5,894         5  Lower inc pay more

. reg program_choice ib3.cat_a_tax if screener_2plus==1 & libcon ==1, cl(id)

Linear regression                               Number of obs     =      7,182
                                                F(4, 398)         =      17.92
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0138
                                                Root MSE          =      .4967

                                              (Std. err. adjusted for 399 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
              cat_a_tax |
   Higher inc pay more  |  -.0162273   .0201737    -0.80   0.422    -.0558876    .0234329
Higher and middle in..  |  -.0328389   .0203564    -1.61   0.107    -.0728585    .0071807
Lower and middle inc..  |  -.1372571   .0202998    -6.76   0.000    -.1771654   -.0973488
    Lower inc pay more  |  -.1332036   .0213484    -6.24   0.000    -.1751733   -.0912339
                        |
                  _cons |   .5627142   .0132364    42.51   0.000     .5366922    .5887361
-----------------------------------------------------------------------------------------

. lincom 1.cat_a_tax-4.cat_a_tax /*p<.01, signed in right direction*/

 ( 1)  1.cat_a_tax - 4.cat_a_tax = 0

------------------------------------------------------------------------------
program_ch~e | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1210298   .0199881     6.06   0.000     .0817344    .1603252
------------------------------------------------------------------------------

. lincom 1.cat_a_tax-5.cat_a_tax /*p<.01, signed in right direction*/

 ( 1)  1.cat_a_tax - 5.cat_a_tax = 0

------------------------------------------------------------------------------
program_ch~e | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1169763   .0211727     5.52   0.000     .0753521    .1586005
------------------------------------------------------------------------------

. lincom 2.cat_a_tax-4.cat_a_tax /*p<.01, signed in right direction*/

 ( 1)  2.cat_a_tax - 4.cat_a_tax = 0

------------------------------------------------------------------------------
program_ch~e | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1044181   .0202549     5.16   0.000     .0645982    .1442381
------------------------------------------------------------------------------

. lincom 2.cat_a_tax-5.cat_a_tax /*p<.01, signed in right direction*/

 ( 1)  2.cat_a_tax - 5.cat_a_tax = 0

------------------------------------------------------------------------------
program_ch~e | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1003647   .0204054     4.92   0.000     .0602487    .1404806
------------------------------------------------------------------------------

. 
. *Hypothesis 4a (see Appendix E): Information about social policies' progressive distribu
> tive results will have a larger positive impact on citizens' policy support than informa
> tion about social policies' regressive distributive consequences.
. codebook libcon

------------------------------------------------------------------------------------------
libcon                                                             Liberal or conservative
------------------------------------------------------------------------------------------

                  Type: Numeric (long)
                 Label: libcon

                 Range: [0,1]                         Units: 1
         Unique values: 2                         Missing .: 11,970/29,484

            Tabulation: Freq.   Numeric  Label
                        9,072         0  Liberal
                        8,442         1  Conservative
                       11,970         .  

. codebook cat_a_distri

------------------------------------------------------------------------------------------
cat_a_distri                                            Distributive result of this policy
------------------------------------------------------------------------------------------

                  Type: Numeric (float)
                 Label: cat_a_distri

                 Range: [1,5]                         Units: 1
         Unique values: 5                         Missing .: 0/29,484

            Tabulation: Freq.   Numeric  Label
                        5,823         1  Lower income benefit
                        5,964         2  Lower and middle income benefit
                        5,847         3  All income groups benefit
                        5,950         4  Higher and middle income
                                         benefit
                        5,900         5  Higher income benefit

. reg program_choice ib3.cat_a_distri if screener_2plus==1, cl(id)

Linear regression                               Number of obs     =     24,354
                                                F(4, 1352)        =     223.74
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0497
                                                Root MSE          =     .48748

                                            (Std. err. adjusted for 1,353 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           cat_a_distri |
  Lower income benefit  |   .0087906   .0108581     0.81   0.418      -.01251    .0300911
Lower and middle inc..  |   .0523462   .0105641     4.96   0.000     .0316223    .0730701
Higher and middle in..  |  -.1446394   .0108298   -13.36   0.000    -.1658844   -.1233943
 Higher income benefit  |  -.2441133   .0110868   -22.02   0.000    -.2658625    -.222364
                        |
                  _cons |   .5660535   .0069387    81.58   0.000     .5524417    .5796654
-----------------------------------------------------------------------------------------

. lincom 1.cat_a_distri-4.cat_a_distri /*p<.01, signed in right direction*/

 ( 1)  1.cat_a_distri - 4.cat_a_distri = 0

------------------------------------------------------------------------------
program_ch~e | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1534299   .0107499    14.27   0.000     .1323417    .1745182
------------------------------------------------------------------------------

. lincom 1.cat_a_distri-5.cat_a_distri /*p<.01, signed in right direction*/

 ( 1)  1.cat_a_distri - 5.cat_a_distri = 0

------------------------------------------------------------------------------
program_ch~e | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .2529038   .0113854    22.21   0.000     .2305689    .2752388
------------------------------------------------------------------------------

. lincom 2.cat_a_distri-4.cat_a_distri /*p<.01, signed in right direction*/

 ( 1)  2.cat_a_distri - 4.cat_a_distri = 0

------------------------------------------------------------------------------
program_ch~e | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1969855   .0105628    18.65   0.000     .1762643    .2177068
------------------------------------------------------------------------------

. lincom 2.cat_a_distri-5.cat_a_distri /*p<.01, signed in right direction*/

 ( 1)  2.cat_a_distri - 5.cat_a_distri = 0

------------------------------------------------------------------------------
program_ch~e | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .2964594   .0112938    26.25   0.000     .2743042    .3186147
------------------------------------------------------------------------------

. 
. *Hypothesis 4b (see Appendix E):  Information about social policies' progressive tax sou
> rces will have a larger positive impact on citizens' policy support than information abo
> ut social policies' regressive tax sources.
. codebook cat_a_tax

------------------------------------------------------------------------------------------
cat_a_tax                                           Tax burden distribution of this policy
------------------------------------------------------------------------------------------

                  Type: Numeric (float)
                 Label: cat_a_tax

                 Range: [1,5]                         Units: 1
         Unique values: 5                         Missing .: 0/29,484

            Tabulation: Freq.   Numeric  Label
                        5,951         1  Higher inc pay more
                        5,946         2  Higher and middle inc pay more
                        5,808         3  All inc groups pay equally
                        5,885         4  Lower and middle inc pay more
                        5,894         5  Lower inc pay more

. reg program_choice ib3.cat_a_tax if screener_2plus==1, cl(id)

Linear regression                               Number of obs     =     24,354
                                                F(4, 1352)        =      86.85
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0194
                                                Root MSE          =     .49519

                                            (Std. err. adjusted for 1,353 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
              cat_a_tax |
   Higher inc pay more  |   .0410646   .0106674     3.85   0.000     .0201382     .061991
Higher and middle in..  |   .0157075   .0108534     1.45   0.148    -.0055838    .0369988
Lower and middle inc..  |  -.1142713   .0108259   -10.56   0.000    -.1355088   -.0930339
    Lower inc pay more  |  -.1262922   .0109772   -11.51   0.000    -.1478263   -.1047581
                        |
                  _cons |   .5365854   .0069441    77.27   0.000     .5229631    .5502077
-----------------------------------------------------------------------------------------

. lincom 1.cat_a_tax-4.cat_a_tax /*p<.01, signed in right direction*/

 ( 1)  1.cat_a_tax - 4.cat_a_tax = 0

------------------------------------------------------------------------------
program_ch~e | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1553359   .0108717    14.29   0.000     .1340087    .1766631
------------------------------------------------------------------------------

. lincom 1.cat_a_tax-5.cat_a_tax /*p<.01, signed in right direction*/

 ( 1)  1.cat_a_tax - 5.cat_a_tax = 0

------------------------------------------------------------------------------
program_ch~e | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1673567   .0112998    14.81   0.000     .1451898    .1895237
------------------------------------------------------------------------------

. lincom 2.cat_a_tax-4.cat_a_tax /*p<.01, signed in right direction*/

 ( 1)  2.cat_a_tax - 4.cat_a_tax = 0

------------------------------------------------------------------------------
program_ch~e | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1299788   .0107012    12.15   0.000     .1089859    .1509716
------------------------------------------------------------------------------

. lincom 2.cat_a_tax-5.cat_a_tax /*p<.01, signed in right direction*/

 ( 1)  2.cat_a_tax - 5.cat_a_tax = 0

------------------------------------------------------------------------------
program_ch~e | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   .1419996   .0109503    12.97   0.000     .1205182     .163481
------------------------------------------------------------------------------

. 
. 
. *****************************Supplementary Material******************************
. //SM B. Descriptive Statistics of Survey Samples
. use conjoint_data.dta, clear

. des

Contains data from conjoint_data.dta
 Observations:        29,484                  
    Variables:            87                  21 Aug 2023 10:58
------------------------------------------------------------------------------------------
Variable      Storage   Display    Value
    name         type    format    label      Variable label
------------------------------------------------------------------------------------------
id              long    %17.0g     id         Respondent
expand          float   %9.0g                 Profile identifier
program_choice  float   %19.0g     choice     Program choice
cat_a_trans     float   %26.0g     Transition_description
                                              Transition description
cat_a_distri    float   %32.0g     cat_a_distri
                                              Distributive result of this policy
cat_a_tax       float   %30.0g     cat_a_tax
                                              Tax burden distribution of this policy
cat_a_cost      float   %11.0g     cat_a_cost
                                              cost attribute
a_desc_imre     float   %9.0g                 All private health insurance immediately
                                                replaced by Medicare
a_desc_phut     float   %9.0g                 Private health insurance phased out over
                                                five years, replaced by Medicare
a_desc_comp     float   %9.0g                 Medicare competes with private insurance as
                                                a public option
a_dis_pro_one   float   %9.0g                 Lower-income citizens benefit most from this
                                                program
a_dis_pro_two   float   %9.0g                 Lower- and middle-income citizens benefit
                                                most from this program.
a_dis_propo     float   %9.0g                 All income groups benefit equally from this
                                                program
a_dis_reg_one   float   %9.0g                 Higher- and middle-income citizens benefit
                                                most from this program
a_dis_reg_two   float   %9.0g                 Higher-income citizens benefit most from
                                                this program
a_tax_pro_one   float   %9.0g                 The government collects a higher percentage
                                                of total earnings from higher-income
a_tax_pro_two   float   %9.0g                 The government collects a higher percentage
                                                of total earnings from higher- and m
a_tax_propo     float   %9.0g                 The government takes the same percentage of
                                                income from all income groups
a_tax_reg_one   float   %9.0g                 The government collects a higher percentage
                                                of total earnings from lower- and mi
a_tax_reg_two   float   %9.0g                 The government collects a higher percentage
                                                of total earnings from lower-income
a_cost_2        float   %9.0g                 $2 trillion
a_cost_3        float   %9.0g                 $3 trillion
a_cost_4        float   %9.0g                 $4 trillion
a_cost_6        float   %9.0g                 $6 trillion
ideology        long    %17.0g     ideology   Ideology
ideo3           long    %12.0g     ideo3      Ideology (3-category)
libcon          long    %12.0g     libcon     Liberal or conservative
pid_7           float   %17.0g     pid_7      Party identification (7-point)
pid_3           float   %11.0g     pid_3      Party identification (3-point)
demrep          float   %10.0g     demrep     Democrat or Republican
income          long    %19.0g     income     Income
income3         long    %15.0g     income3    Income (3-category)
female          float   %9.0g      female     Female
age_ordinal     long    %9.0g      age        Age (6-category scale)
white           float   %9.0g      white      White
educ_new        float   %48.0g     educ_new   Education
mipscreener_p~s float   %9.0g                 Passed most important problem screener
newspaperscre~s float   %9.0g                 Passed newspaper screener
wwiscreener_p~s float   %9.0g                 Passed WWI/WWII screener
neitherscreen~s float   %9.0g                 Passed 'neither' screener
screener_count  float   %9.0g                 Number of screeners passed
screener_3plus  float   %9.0g                 Passed 3 or 4 screeners
screener_2plus  float   %9.0g                 Passed 2-4 screeners
startdate       strL    %9s                   StartDate
enddate         strL    %9s                   EndDate
status          strL    %9s                   Status
ipaddress       strL    %9s                   IPAddress
progress        strL    %9s                   Progress
durationinsec~s strL    %9s                   Duration (in seconds)
finished        strL    %9s                   Finished
recordeddate    str83   %83s                  RecordedDate
responseid      strL    %9s                   ResponseId
introic         strL    %9s                   intro/ic
mipscreener_1   str22   %22s                  MIP screener_1
mipscreener_2   str22   %22s                  MIP screener_2
mipscreener_3   str22   %22s                  MIP screener_3
mipscreener_4   str22   %22s                  MIP screener_4
mipscreener_5   str22   %22s                  MIP screener_5
mipscreener_6   str22   %22s                  MIP screener_6
mipscreener_7   str22   %22s                  MIP screener_7
newspaperscre~r strL    %9s                   Newspaper screener
wwineitherscr~1 str26   %26s                  WWI/neither screener_1
wwineitherscr~2 str26   %26s                  WWI/neither screener_2
wwineitherscr~3 str26   %26s                  WWI/neither screener_3
wwineitherscr~4 str26   %26s                  WWI/neither screener_4
wwineitherscr~5 str26   %26s                  WWI/neither screener_5
wwineitherscr~6 str26   %26s                  WWI/neither screener_6
wwineitherscr~7 str26   %26s                  WWI/neither screener_7
gender          str20   %20s                  
age             long    %10.0g                
educ            str20   %20s                  
race            str20   %20s                  
faminc          str20   %20s                  
employ          str20   %20s                  
attention       str20   %20s                  
ideo            str20   %20s                  
party           str20   %20s                  
strongd         str20   %20s                  
strongr         str20   %20s                  
lean            str20   %20s                  
timepreexp      str25   %25s                  
q_totalduration str30   %30s                  Q_TotalDuration
pro_result      float   %9.0g                 Progressive distributive result (any)
reg_result      float   %9.0g                 Regressive distributive result (any)
pro_tax         float   %9.0g                 Progressive tax burden (any)
reg_tax         float   %9.0g                 Regressive tax burden (any)
date_end        double  %tc                   date_end
------------------------------------------------------------------------------------------
Sorted by: date_end

. codebook expand

------------------------------------------------------------------------------------------
expand                                                                  Profile identifier
------------------------------------------------------------------------------------------

                  Type: Numeric (float)

                 Range: [1,18]                        Units: 1
         Unique values: 18                        Missing .: 0/29,484

                  Mean:     9.5
             Std. dev.: 5.18822

           Percentiles:     10%       25%       50%       75%       90%
                              2         5       9.5        14        17

. keep if expand ==1
(27,846 observations deleted)

. tabulate female

     Female |      Freq.     Percent        Cum.
------------+-----------------------------------
       Male |        788       48.11       48.11
     Female |        850       51.89      100.00
------------+-----------------------------------
      Total |      1,638      100.00

. tabulate age_ordinal

        Age |
(6-category |
     scale) |      Freq.     Percent        Cum.
------------+-----------------------------------
      18-29 |        344       21.17       21.17
      30-39 |        325       20.00       41.17
      40-49 |        297       18.28       59.45
      50-59 |        274       16.86       76.31
      60-65 |        134        8.25       84.55
        65+ |        251       15.45      100.00
------------+-----------------------------------
      Total |      1,625      100.00

. tabulate white

      White |      Freq.     Percent        Cum.
------------+-----------------------------------
  Non-white |        472       28.82       28.82
      White |      1,166       71.18      100.00
------------+-----------------------------------
      Total |      1,638      100.00

. tabulate educ_new

                              Education |      Freq.     Percent        Cum.
----------------------------------------+-----------------------------------
                                  No HS |         43        2.63        2.63
                   High school graduate |        463       28.27       30.89
                           Some college |        431       26.31       57.20
                  2-year college degree |        199       12.15       69.35
                  4-year college degree |        383       23.38       92.74
Postgraduate degree (MA, MBA, MD, JD, P |        119        7.26      100.00
----------------------------------------+-----------------------------------
                                  Total |      1,638      100.00

. tabulate income3

         Income |
   (3-category) |      Freq.     Percent        Cum.
----------------+-----------------------------------
   lower-income |      1,076       65.69       65.69
moderate-income |        482       29.43       95.12
  higher-income |         80        4.88      100.00
----------------+-----------------------------------
          Total |      1,638      100.00

. tabulate pid_7

            Party |
   identification |
        (7-point) |      Freq.     Percent        Cum.
------------------+-----------------------------------
  Strong Democrat |        340       20.76       20.76
    Weak Democrat |        233       14.22       34.98
    Lean Democrat |        156        9.52       44.51
      Independent |        245       14.96       59.46
  Lean Republican |        149        9.10       68.56
  Weak Republican |        198       12.09       80.65
Strong Republican |        317       19.35      100.00
------------------+-----------------------------------
            Total |      1,638      100.00

. tabulate ideology

         Ideology |      Freq.     Percent        Cum.
------------------+-----------------------------------
     Very liberal |        183       11.17       11.17
          Liberal |        321       19.60       30.77
         Moderate |        665       40.60       71.37
     Conservative |        311       18.99       90.35
Very conservative |        158        9.65      100.00
------------------+-----------------------------------
            Total |      1,638      100.00

. 
. codebook female educ_new age_ordinal white pid_7 ideo3 income

------------------------------------------------------------------------------------------
female                                                                              Female
------------------------------------------------------------------------------------------

                  Type: Numeric (float)
                 Label: female

                 Range: [0,1]                         Units: 1
         Unique values: 2                         Missing .: 0/1,638

            Tabulation: Freq.   Numeric  Label
                          788         0  Male
                          850         1  Female

------------------------------------------------------------------------------------------
educ_new                                                                         Education
------------------------------------------------------------------------------------------

                  Type: Numeric (float)
                 Label: educ_new

                 Range: [1,6]                         Units: 1
         Unique values: 6                         Missing .: 0/1,638

            Tabulation: Freq.   Numeric  Label
                           43         1  No HS
                          463         2  High school graduate
                          431         3  Some college
                          199         4  2-year college degree
                          383         5  4-year college degree
                          119         6  Postgraduate degree (MA, MBA,
                                         MD, JD, PhD, etc.)

------------------------------------------------------------------------------------------
age_ordinal                                                         Age (6-category scale)
------------------------------------------------------------------------------------------

                  Type: Numeric (long)
                 Label: age

                 Range: [1,6]                         Units: 1
         Unique values: 6                         Missing .: 13/1,638

            Tabulation: Freq.   Numeric  Label
                          344         1  18-29
                          325         2  30-39
                          297         3  40-49
                          274         4  50-59
                          134         5  60-65
                          251         6  65+
                           13         .  

------------------------------------------------------------------------------------------
white                                                                                White
------------------------------------------------------------------------------------------

                  Type: Numeric (float)
                 Label: white

                 Range: [0,1]                         Units: 1
         Unique values: 2                         Missing .: 0/1,638

            Tabulation: Freq.   Numeric  Label
                          472         0  Non-white
                        1,166         1  White

------------------------------------------------------------------------------------------
pid_7                                                       Party identification (7-point)
------------------------------------------------------------------------------------------

                  Type: Numeric (float)
                 Label: pid_7

                 Range: [1,7]                         Units: 1
         Unique values: 7                         Missing .: 0/1,638

            Tabulation: Freq.   Numeric  Label
                          340         1  Strong Democrat
                          233         2  Weak Democrat
                          156         3  Lean Democrat
                          245         4  Independent
                          149         5  Lean Republican
                          198         6  Weak Republican
                          317         7  Strong Republican

------------------------------------------------------------------------------------------
ideo3                                                                Ideology (3-category)
------------------------------------------------------------------------------------------

                  Type: Numeric (long)
                 Label: ideo3

                 Range: [1,3]                         Units: 1
         Unique values: 3                         Missing .: 0/1,638

            Tabulation: Freq.   Numeric  Label
                          504         1  Liberal
                          665         2  Moderate
                          469         3  Conservative

------------------------------------------------------------------------------------------
income                                                                              Income
------------------------------------------------------------------------------------------

                  Type: Numeric (long)
                 Label: income

                 Range: [1,16]                        Units: 1
         Unique values: 15                        Missing .: 0/1,638

              Examples: 3     $20,000 - $29,999
                        4     $30,000 - $39,999
                        6     $50,000 - $59,999
                        9     $80,000 - $99,999

. estpost summarize female educ_new age_ordinal white pid_7 ideo3 income

             |  e(count)   e(sum_w)    e(mean)     e(Var)      e(sd)     e(min) 
-------------+------------------------------------------------------------------
      female |      1638       1638   .5189255   .2497943   .4997943          0 
    educ_new |      1638       1638   3.471917   1.876731   1.369938          1 
 age_ordinal |      1625       1625   3.173538   2.907058    1.70501          1 
       white |      1638       1638   .7118437   .2052475   .4530425          0 
       pid_7 |      1638       1638   3.910867   4.843608    2.20082          1 
       ideo3 |      1638       1638   1.978632   .5939231   .7706641          1 
      income |      1638       1638   5.595238   10.14578   3.185244          1 

             |    e(max)     e(sum) 
-------------+----------------------
      female |         1        850 
    educ_new |         6       5687 
 age_ordinal |         6       5157 
       white |         1       1166 
       pid_7 |         7       6406 
       ideo3 |         3       3241 
      income |        16       9165 

. 
. //SM C.
. *AMCE by ideology (with moderates)
. **All respondents (Table C.1)
. clear all

. use conjoint_data.dta, clear

. des

Contains data from conjoint_data.dta
 Observations:        29,484                  
    Variables:            87                  21 Aug 2023 10:58
------------------------------------------------------------------------------------------
Variable      Storage   Display    Value
    name         type    format    label      Variable label
------------------------------------------------------------------------------------------
id              long    %17.0g     id         Respondent
expand          float   %9.0g                 Profile identifier
program_choice  float   %19.0g     choice     Program choice
cat_a_trans     float   %26.0g     Transition_description
                                              Transition description
cat_a_distri    float   %32.0g     cat_a_distri
                                              Distributive result of this policy
cat_a_tax       float   %30.0g     cat_a_tax
                                              Tax burden distribution of this policy
cat_a_cost      float   %11.0g     cat_a_cost
                                              cost attribute
a_desc_imre     float   %9.0g                 All private health insurance immediately
                                                replaced by Medicare
a_desc_phut     float   %9.0g                 Private health insurance phased out over
                                                five years, replaced by Medicare
a_desc_comp     float   %9.0g                 Medicare competes with private insurance as
                                                a public option
a_dis_pro_one   float   %9.0g                 Lower-income citizens benefit most from this
                                                program
a_dis_pro_two   float   %9.0g                 Lower- and middle-income citizens benefit
                                                most from this program.
a_dis_propo     float   %9.0g                 All income groups benefit equally from this
                                                program
a_dis_reg_one   float   %9.0g                 Higher- and middle-income citizens benefit
                                                most from this program
a_dis_reg_two   float   %9.0g                 Higher-income citizens benefit most from
                                                this program
a_tax_pro_one   float   %9.0g                 The government collects a higher percentage
                                                of total earnings from higher-income
a_tax_pro_two   float   %9.0g                 The government collects a higher percentage
                                                of total earnings from higher- and m
a_tax_propo     float   %9.0g                 The government takes the same percentage of
                                                income from all income groups
a_tax_reg_one   float   %9.0g                 The government collects a higher percentage
                                                of total earnings from lower- and mi
a_tax_reg_two   float   %9.0g                 The government collects a higher percentage
                                                of total earnings from lower-income
a_cost_2        float   %9.0g                 $2 trillion
a_cost_3        float   %9.0g                 $3 trillion
a_cost_4        float   %9.0g                 $4 trillion
a_cost_6        float   %9.0g                 $6 trillion
ideology        long    %17.0g     ideology   Ideology
ideo3           long    %12.0g     ideo3      Ideology (3-category)
libcon          long    %12.0g     libcon     Liberal or conservative
pid_7           float   %17.0g     pid_7      Party identification (7-point)
pid_3           float   %11.0g     pid_3      Party identification (3-point)
demrep          float   %10.0g     demrep     Democrat or Republican
income          long    %19.0g     income     Income
income3         long    %15.0g     income3    Income (3-category)
female          float   %9.0g      female     Female
age_ordinal     long    %9.0g      age        Age (6-category scale)
white           float   %9.0g      white      White
educ_new        float   %48.0g     educ_new   Education
mipscreener_p~s float   %9.0g                 Passed most important problem screener
newspaperscre~s float   %9.0g                 Passed newspaper screener
wwiscreener_p~s float   %9.0g                 Passed WWI/WWII screener
neitherscreen~s float   %9.0g                 Passed 'neither' screener
screener_count  float   %9.0g                 Number of screeners passed
screener_3plus  float   %9.0g                 Passed 3 or 4 screeners
screener_2plus  float   %9.0g                 Passed 2-4 screeners
startdate       strL    %9s                   StartDate
enddate         strL    %9s                   EndDate
status          strL    %9s                   Status
ipaddress       strL    %9s                   IPAddress
progress        strL    %9s                   Progress
durationinsec~s strL    %9s                   Duration (in seconds)
finished        strL    %9s                   Finished
recordeddate    str83   %83s                  RecordedDate
responseid      strL    %9s                   ResponseId
introic         strL    %9s                   intro/ic
mipscreener_1   str22   %22s                  MIP screener_1
mipscreener_2   str22   %22s                  MIP screener_2
mipscreener_3   str22   %22s                  MIP screener_3
mipscreener_4   str22   %22s                  MIP screener_4
mipscreener_5   str22   %22s                  MIP screener_5
mipscreener_6   str22   %22s                  MIP screener_6
mipscreener_7   str22   %22s                  MIP screener_7
newspaperscre~r strL    %9s                   Newspaper screener
wwineitherscr~1 str26   %26s                  WWI/neither screener_1
wwineitherscr~2 str26   %26s                  WWI/neither screener_2
wwineitherscr~3 str26   %26s                  WWI/neither screener_3
wwineitherscr~4 str26   %26s                  WWI/neither screener_4
wwineitherscr~5 str26   %26s                  WWI/neither screener_5
wwineitherscr~6 str26   %26s                  WWI/neither screener_6
wwineitherscr~7 str26   %26s                  WWI/neither screener_7
gender          str20   %20s                  
age             long    %10.0g                
educ            str20   %20s                  
race            str20   %20s                  
faminc          str20   %20s                  
employ          str20   %20s                  
attention       str20   %20s                  
ideo            str20   %20s                  
party           str20   %20s                  
strongd         str20   %20s                  
strongr         str20   %20s                  
lean            str20   %20s                  
timepreexp      str25   %25s                  
q_totalduration str30   %30s                  Q_TotalDuration
pro_result      float   %9.0g                 Progressive distributive result (any)
reg_result      float   %9.0g                 Regressive distributive result (any)
pro_tax         float   %9.0g                 Progressive tax burden (any)
reg_tax         float   %9.0g                 Regressive tax burden (any)
date_end        double  %tc                   date_end
------------------------------------------------------------------------------------------
Sorted by: date_end

. reg program_choice i.cat_a_trans b3.cat_a_distri b3.cat_a_tax i.cat_a_cost if ideo3==1, 
> cluster(id) 

Linear regression                               Number of obs     =      9,072
                                                F(13, 503)        =      40.01
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0778
                                                Root MSE          =     .48052

                                              (Std. err. adjusted for 504 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |  -.0042523   .0127728    -0.33   0.739     -.029347    .0208423
Competed with each o..  |   -.002869   .0136181    -0.21   0.833    -.0296244    .0238863
                        |
           cat_a_distri |
  Lower income benefit  |   .0397604   .0177586     2.24   0.026     .0048703    .0746505
Lower and middle inc..  |   .0598617   .0173806     3.44   0.001     .0257142    .0940091
Higher and middle in..  |  -.1590694   .0178873    -8.89   0.000    -.1942125   -.1239264
 Higher income benefit  |  -.2400232   .0177603   -13.51   0.000    -.2749168   -.2051296
                        |
              cat_a_tax |
   Higher inc pay more  |   .0853665    .016502     5.17   0.000     .0529452    .1177879
Higher and middle in..  |   .0515552   .0169091     3.05   0.002     .0183341    .0847763
Lower and middle inc..  |  -.0863028   .0177139    -4.87   0.000    -.1211052   -.0515005
    Lower inc pay more  |  -.0974674   .0167062    -5.83   0.000    -.1302899   -.0646449
                        |
             cat_a_cost |
           $3 trillion  |   .0111358   .0143744     0.77   0.439    -.0171055    .0393771
           $4 trillion  |  -.0092312   .0144793    -0.64   0.524    -.0376787    .0192162
           $6 trillion  |  -.0185927   .0154869    -1.20   0.230    -.0490198    .0118344
                        |
                  _cons |   .5758732   .0198735    28.98   0.000     .5368279    .6149185
-----------------------------------------------------------------------------------------

. est sto Liberals_all

. margins i.cat_a_trans i.cat_a_distri i.cat_a_tax i.cat_a_cost, post

Predictive margins                                       Number of obs = 9,072
Model VCE: Robust

Expression: Linear prediction, predict()

-----------------------------------------------------------------------------------------
                        |            Delta-method
                        |     Margin   std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
  Immediately replaced  |   .5023857   .0078349    64.12   0.000     .4869925    .5177789
Phased out over five..  |   .4981334   .0074377    66.97   0.000     .4835207    .5127461
Competed with each o..  |   .4995166   .0078896    63.31   0.000      .484016    .5150173
                        |
           cat_a_distri |
  Lower income benefit  |   .5995446   .0111333    53.85   0.000      .577671    .6214181
Lower and middle inc..  |   .6196458    .010793    57.41   0.000     .5984408    .6408508
All income groups be..  |   .5597842    .011392    49.14   0.000     .5374025    .5821658
Higher and middle in..  |   .4007147   .0110746    36.18   0.000     .3789566    .4224728
 Higher income benefit  |    .319761   .0117473    27.22   0.000     .2966812    .3428408
                        |
              cat_a_tax |
   Higher inc pay more  |   .5949422   .0108538    54.81   0.000     .5736178    .6162665
Higher and middle in..  |   .5611308   .0111107    50.50   0.000     .5393016      .58296
All inc groups pay e..  |   .5095756   .0108498    46.97   0.000     .4882592    .5308921
Lower and middle inc..  |   .4232728   .0110687    38.24   0.000     .4015261    .4450195
    Lower inc pay more  |   .4121082   .0107535    38.32   0.000     .3909808    .4332356
                        |
             cat_a_cost |
           $2 trillion  |   .5041277   .0092632    54.42   0.000     .4859284     .522327
           $3 trillion  |   .5152635   .0091091    56.57   0.000      .497367      .53316
           $4 trillion  |   .4948965   .0088871    55.69   0.000      .477436    .5123569
           $6 trillion  |    .485535   .0094422    51.42   0.000      .466984     .504086
-----------------------------------------------------------------------------------------

. est sto Liberals_all_mm

. 
. reg program_choice i.cat_a_trans b3.cat_a_distri b3.cat_a_tax i.cat_a_cost if ideo3==2, 
> cluster(id) 

Linear regression                               Number of obs     =     11,970
                                                F(13, 664)        =      35.64
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0544
                                                Root MSE          =     .48649

                                              (Std. err. adjusted for 665 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |   .0108174   .0114237     0.95   0.344    -.0116135    .0332484
Competed with each o..  |   .0404405   .0128182     3.15   0.002     .0152715    .0656096
                        |
           cat_a_distri |
  Lower income benefit  |   .0084499   .0145917     0.58   0.563    -.0202016    .0371014
Lower and middle inc..  |   .0292561   .0143556     2.04   0.042     .0010683     .057444
Higher and middle in..  |  -.1222008   .0146663    -8.33   0.000    -.1509987   -.0934028
 Higher income benefit  |  -.2043288   .0163062   -12.53   0.000    -.2363467    -.172311
                        |
              cat_a_tax |
   Higher inc pay more  |   .0319869    .014294     2.24   0.026       .00392    .0600538
Higher and middle in..  |   .0183132   .0149764     1.22   0.222    -.0110937    .0477201
Lower and middle inc..  |  -.0939817   .0146567    -6.41   0.000    -.1227608   -.0652026
    Lower inc pay more  |  -.1134277   .0150607    -7.53   0.000        -.143   -.0838553
                        |
             cat_a_cost |
           $3 trillion  |  -.0003746   .0127208    -0.03   0.977    -.0253524    .0246032
           $4 trillion  |   -.041111   .0134162    -3.06   0.002    -.0674543   -.0147677
           $6 trillion  |  -.0928634   .0143266    -6.48   0.000    -.1209944   -.0647325
                        |
                  _cons |   .6055256   .0178826    33.86   0.000     .5704123     .640639
-----------------------------------------------------------------------------------------

. est sto Moderates_all

. margins i.cat_a_trans i.cat_a_distri i.cat_a_tax i.cat_a_cost, post

Predictive margins                                      Number of obs = 11,970
Model VCE: Robust

Expression: Linear prediction, predict()

-----------------------------------------------------------------------------------------
                        |            Delta-method
                        |     Margin   std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
  Immediately replaced  |   .4829022   .0071836    67.22   0.000     .4687968    .4970075
Phased out over five..  |   .4937196   .0064333    76.74   0.000     .4810876    .5063516
Competed with each o..  |   .5233427   .0071988    72.70   0.000     .5092075    .5374779
                        |
           cat_a_distri |
  Lower income benefit  |   .5665688   .0096317    58.82   0.000     .5476567     .585481
Lower and middle inc..  |    .587375   .0097629    60.16   0.000     .5682052    .6065449
All income groups be..  |   .5581189   .0094234    59.23   0.000     .5396157    .5766222
Higher and middle in..  |   .4359182    .009064    48.09   0.000     .4181206    .4537158
 Higher income benefit  |   .3537901   .0105312    33.59   0.000     .3331116    .3744686
                        |
              cat_a_tax |
   Higher inc pay more  |   .5634018   .0093768    60.08   0.000       .54499    .5818135
Higher and middle in..  |   .5497281   .0094516    58.16   0.000     .5311696    .5682866
All inc groups pay e..  |   .5314149    .009377    56.67   0.000     .5130026    .5498271
Lower and middle inc..  |   .4374332    .009191    47.59   0.000     .4193863      .45548
    Lower inc pay more  |   .4179872   .0096331    43.39   0.000     .3990721    .4369023
                        |
             cat_a_cost |
           $2 trillion  |   .5330897   .0084913    62.78   0.000     .5164168    .5497627
           $3 trillion  |   .5327151   .0076755    69.40   0.000     .5176439    .5477864
           $4 trillion  |   .4919787   .0076459    64.35   0.000     .4769656    .5069918
           $6 trillion  |   .4402263   .0085909    51.24   0.000     .4233576     .457095
-----------------------------------------------------------------------------------------

. est sto Moderates_all_mm

. 
. reg program_choice i.cat_a_trans b3.cat_a_distri b3.cat_a_tax i.cat_a_cost if ideo3==3, 
> cluster(id)

Linear regression                               Number of obs     =      8,442
                                                F(13, 468)        =      33.80
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0589
                                                Root MSE          =     .48545

                                              (Std. err. adjusted for 469 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |   .0142578   .0133988     1.06   0.288    -.0120716    .0405871
Competed with each o..  |   .0919131   .0156597     5.87   0.000     .0611411    .1226851
                        |
           cat_a_distri |
  Lower income benefit  |  -.0102641   .0183795    -0.56   0.577    -.0463807    .0258525
Lower and middle inc..  |   .0487792   .0180064     2.71   0.007     .0133959    .0841625
Higher and middle in..  |  -.0961152   .0188505    -5.10   0.000    -.1331574   -.0590731
 Higher income benefit  |  -.1942077    .018528   -10.48   0.000    -.2306162   -.1577993
                        |
              cat_a_tax |
   Higher inc pay more  |  -.0053321   .0181257    -0.29   0.769      -.04095    .0302858
Higher and middle in..  |  -.0202724   .0187376    -1.08   0.280    -.0570926    .0165479
Lower and middle inc..  |  -.1085344   .0187469    -5.79   0.000    -.1453729   -.0716958
    Lower inc pay more  |   -.115786   .0194042    -5.97   0.000    -.1539161   -.0776559
                        |
             cat_a_cost |
           $3 trillion  |  -.0612065   .0151518    -4.04   0.000    -.0909806   -.0314325
           $4 trillion  |  -.0869601   .0155221    -5.60   0.000    -.1174617   -.0564585
           $6 trillion  |  -.1549807   .0174574    -8.88   0.000    -.1892853    -.120676
                        |
                  _cons |    .639576    .020786    30.77   0.000     .5987305    .6804215
-----------------------------------------------------------------------------------------

. est sto Conservatives_all

. margins i.cat_a_trans i.cat_a_distri i.cat_a_tax i.cat_a_cost, post

Predictive margins                                       Number of obs = 8,442
Model VCE: Robust

Expression: Linear prediction, predict()

-----------------------------------------------------------------------------------------
                        |            Delta-method
                        |     Margin   std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
  Immediately replaced  |   .4644649    .008512    54.57   0.000     .4477385    .4811913
Phased out over five..  |   .4787227   .0080048    59.80   0.000     .4629929    .4944525
Competed with each o..  |   .5563781   .0089068    62.47   0.000     .5388758    .5738803
                        |
           cat_a_distri |
  Lower income benefit  |   .5402387   .0116625    46.32   0.000     .5173214    .5631559
Lower and middle inc..  |    .599282   .0115621    51.83   0.000      .576562    .6220019
All income groups be..  |   .5505028   .0117846    46.71   0.000     .5273454    .5736601
Higher and middle in..  |   .4543875   .0116898    38.87   0.000     .4314165    .4773586
 Higher income benefit  |    .356295   .0119278    29.87   0.000     .3328564    .3797336
                        |
              cat_a_tax |
   Higher inc pay more  |    .543959   .0110947    49.03   0.000     .5221573    .5657606
Higher and middle in..  |   .5290187   .0113164    46.75   0.000     .5067815    .5512559
All inc groups pay e..  |    .549291   .0122276    44.92   0.000     .5252632    .5733189
Lower and middle inc..  |   .4407567   .0114441    38.51   0.000     .4182686    .4632448
    Lower inc pay more  |    .433505     .01191    36.40   0.000     .4101014    .4569086
                        |
             cat_a_cost |
           $2 trillion  |   .5753172   .0099884    57.60   0.000     .5556896    .5949449
           $3 trillion  |   .5141107   .0096018    53.54   0.000     .4952428    .5329786
           $4 trillion  |   .4883571   .0093491    52.24   0.000     .4699858    .5067285
           $6 trillion  |   .4203366   .0105634    39.79   0.000     .3995791    .4410941
-----------------------------------------------------------------------------------------

. est sto Conservatives_all_mm

. 
. esttab Liberals_all Moderates_all Conservatives_all using Tables/c1.txt, tab cells("b(fm
> t(3))" se(par(`"("' `")"') fmt(3)) p(par(`"["' `"]"') fmt(3))) onecell label  nobaseleve
> ls nomtitles eqlabels(none) star(* 0.10 ** 0.05 *** 0.01) replace
(output written to Tables/c1.txt)

. 
. **All respondents (Figure C.1)
. coefplot (Liberals_all, label(Liberal) mcolor(gs0) ciopts(color(gs0))) (Moderates_all, l
> abel(Moderate) mcolor(gs7) ciopts(color(gs7))) (Conservatives_all, label(Conservative) m
> color(gs13) ciopts(color(gs13))),  omitted baselevels drop(_cons) keep(*:) xline(0, lpat
> tern(-) lcolor(black)) xlabel(-.3(.1).3) xtick(-.1(.1).1) msymbol(O) msize(small) coefla
> bels(1.cat_a_trans = "Immediate replacement" 2.cat_a_trans = "Phasing out over years" 3.
> cat_a_trans = "Competition" 1.cat_a_distri = "Lower-income citizens" 2.cat_a_distri = "L
> ower- and middle-income citizens" 3.cat_a_distri = "All income groups" 4.cat_a_distri = 
> "Higher- and middle-income citizens" 5.cat_a_distri = "Higher-income citizens" 1.cat_a_t
> ax = "Higher-income households" 2.cat_a_tax = "Higher- and middle-income households" 3.c
> at_a_tax = "All income groups" 4.cat_a_tax = "Lower- and middle-income households" 5.cat
> _a_tax = "Lower-income households" 1.cat_a_cost= "$2.4 trillion" 2.cat_a_cost= "$3.2 tri
> llion" 3.cat_a_cost= "$4.3 trillion" 4.cat_a_cost= "$6.2 trillion", labsize(small)) head
> ings(1.cat_a_trans = "{bf:Transition from current system}" 1.cat_a_distri = "{bf:This po
> licy benefits most for}" 1.cat_a_tax = "{bf: The main contributors to tax sources are}" 
> 1.cat_a_cost = "{bf:Total cost per year}", nogap) subtitle(, fcolor (gs15)) scale(0.7) x
> title({bf:Estimated AMCEs (forced choice)})  legend(pos(6) col(3) label(2 "Liberal") lab
> el(4 "Moderate") label(6 "Conservative")) 

. gr_edit .b2title.style.editstyle size(small) editcopy

. gr export Figures/choice_ideo_amce.png, as(png) replace
file Figures/choice_ideo_amce.png saved as PNG format

. 
. **Dropping least attentive respondents (Table C.2)
. reg program_choice i.cat_a_trans b3.cat_a_distri b3.cat_a_tax i.cat_a_cost if screener_2
> plus==1&ideo3==1, cluster(id) 

Linear regression                               Number of obs     =      7,308
                                                F(13, 405)        =      53.84
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1082
                                                Root MSE          =     .47264

                                              (Std. err. adjusted for 406 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |   -.000307   .0140449    -0.02   0.983     -.027917    .0273031
Competed with each o..  |   -.014802   .0152149    -0.97   0.331    -.0447121    .0151082
                        |
           cat_a_distri |
  Lower income benefit  |   .0375233   .0199785     1.88   0.061    -.0017512    .0767978
Lower and middle inc..  |   .0626426   .0197776     3.17   0.002      .023763    .1015222
Higher and middle in..  |  -.1888366   .0197124    -9.58   0.000     -.227588   -.1500852
 Higher income benefit  |  -.2883596   .0187191   -15.40   0.000    -.3251584   -.2515609
                        |
              cat_a_tax |
   Higher inc pay more  |   .0959694   .0187642     5.11   0.000     .0590821    .1328567
Higher and middle in..  |   .0693197    .019248     3.60   0.000     .0314812    .1071582
Lower and middle inc..  |  -.1021631   .0197977    -5.16   0.000    -.1410823    -.063244
    Lower inc pay more  |  -.1170183   .0187586    -6.24   0.000    -.1538948   -.0801419
                        |
             cat_a_cost |
           $3 trillion  |      .0032   .0160365     0.20   0.842    -.0283252    .0347252
           $4 trillion  |  -.0240474   .0160458    -1.50   0.135    -.0555909    .0074961
           $6 trillion  |  -.0329419   .0168668    -1.95   0.052    -.0660993    .0002155
                        |
                  _cons |   .6050234   .0213997    28.27   0.000      .562955    .6470918
-----------------------------------------------------------------------------------------

. est sto Liberals

. margins i.cat_a_trans i.cat_a_distri i.cat_a_tax i.cat_a_cost, post

Predictive margins                                       Number of obs = 7,308
Model VCE: Robust

Expression: Linear prediction, predict()

-----------------------------------------------------------------------------------------
                        |            Delta-method
                        |     Margin   std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
  Immediately replaced  |   .5050114   .0086926    58.10   0.000     .4879232    .5220997
Phased out over five..  |   .5047045   .0083514    60.43   0.000     .4882871    .5211219
Competed with each o..  |   .4902095   .0089572    54.73   0.000     .4726011    .5078179
                        |
           cat_a_distri |
  Lower income benefit  |   .6128436   .0123335    49.69   0.000     .5885979    .6370893
Lower and middle inc..  |   .6379629    .012104    52.71   0.000     .6141683    .6617575
All income groups be..  |   .5753203   .0127395    45.16   0.000     .5502765    .6003641
Higher and middle in..  |   .3864837   .0120096    32.18   0.000     .3628747    .4100927
 Higher income benefit  |   .2869607   .0122935    23.34   0.000     .2627936    .3111278
                        |
              cat_a_tax |
   Higher inc pay more  |   .6074414   .0121272    50.09   0.000     .5836013    .6312815
Higher and middle in..  |   .5807917   .0123569    47.00   0.000        .5565    .6050834
All inc groups pay e..  |    .511472   .0124449    41.10   0.000     .4870073    .5359367
Lower and middle inc..  |   .4093089   .0122675    33.37   0.000      .385193    .4334248
    Lower inc pay more  |   .3944537   .0118653    33.24   0.000     .3711283     .417779
                        |
             cat_a_cost |
           $2 trillion  |   .5132197   .0102915    49.87   0.000     .4929883     .533451
           $3 trillion  |   .5164197   .0101128    51.07   0.000     .4965395    .5362998
           $4 trillion  |   .4891722   .0098862    49.48   0.000     .4697376    .5086068
           $6 trillion  |   .4802778   .0103471    46.42   0.000      .459937    .5006185
-----------------------------------------------------------------------------------------

. est sto Liberals_mm

. 
. reg program_choice i.cat_a_trans b3.cat_a_distri b3.cat_a_tax i.cat_a_cost if screener_2
> plus==1&ideo3==2, cluster(id) 

Linear regression                               Number of obs     =      9,864
                                                F(13, 547)        =      38.80
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0691
                                                Root MSE          =     .48276

                                              (Std. err. adjusted for 548 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |     .00905   .0126561     0.72   0.475    -.0158105    .0339105
Competed with each o..  |   .0468541   .0143554     3.26   0.001     .0186557    .0750525
                        |
           cat_a_distri |
  Lower income benefit  |   .0065894   .0164844     0.40   0.690    -.0257911    .0389699
Lower and middle inc..  |   .0422003   .0157353     2.68   0.008     .0112913    .0731093
Higher and middle in..  |  -.1349156   .0164518    -8.20   0.000    -.1672322   -.1025991
 Higher income benefit  |  -.2297635   .0179518   -12.80   0.000    -.2650263   -.1945006
                        |
              cat_a_tax |
   Higher inc pay more  |   .0440229   .0157405     2.80   0.005     .0131037    .0749421
Higher and middle in..  |   .0151984   .0161007     0.94   0.346    -.0164283    .0468251
Lower and middle inc..  |  -.1079481   .0159099    -6.78   0.000    -.1392001   -.0766961
    Lower inc pay more  |  -.1220635   .0167038    -7.31   0.000    -.1548748   -.0892521
                        |
             cat_a_cost |
           $3 trillion  |   .0032263    .014074     0.23   0.819    -.0244195    .0308721
           $4 trillion  |  -.0400841    .014718    -2.72   0.007    -.0689949   -.0111733
           $6 trillion  |  -.0916244   .0159758    -5.74   0.000    -.1230059   -.0602429
                        |
                  _cons |   .6117521     .01946    31.44   0.000     .5735266    .6499775
-----------------------------------------------------------------------------------------

. est sto Moderates

. margins i.cat_a_trans i.cat_a_distri i.cat_a_tax i.cat_a_cost, post

Predictive margins                                       Number of obs = 9,864
Model VCE: Robust

Expression: Linear prediction, predict()

-----------------------------------------------------------------------------------------
                        |            Delta-method
                        |     Margin   std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
  Immediately replaced  |   .4813963   .0080733    59.63   0.000     .4655379    .4972547
Phased out over five..  |   .4904463   .0070426    69.64   0.000     .4766125    .5042802
Competed with each o..  |   .5282504   .0079844    66.16   0.000     .5125667    .5439342
                        |
           cat_a_distri |
  Lower income benefit  |   .5709972   .0107522    53.11   0.000     .5498767    .5921178
Lower and middle inc..  |   .6066081   .0105682    57.40   0.000     .5858488    .6273674
All income groups be..  |   .5644078   .0106531    52.98   0.000     .5434818    .5853339
Higher and middle in..  |   .4294922   .0098897    43.43   0.000     .4100658    .4489186
 Higher income benefit  |   .3346444   .0113771    29.41   0.000     .3122962    .3569925
                        |
              cat_a_tax |
   Higher inc pay more  |   .5782692   .0102841    56.23   0.000      .558068    .5984704
Higher and middle in..  |   .5494447   .0101863    53.94   0.000     .5294357    .5694537
All inc groups pay e..  |   .5342463   .0102737    52.00   0.000     .5140656     .554427
Lower and middle inc..  |   .4262982   .0099783    42.72   0.000     .4066977    .4458986
    Lower inc pay more  |   .4121828   .0104822    39.32   0.000     .3915926    .4327731
                        |
             cat_a_cost |
           $2 trillion  |   .5317016   .0093786    56.69   0.000     .5132791    .5501241
           $3 trillion  |    .534928   .0085736    62.39   0.000     .5180867    .5517693
           $4 trillion  |   .4916175   .0084435    58.22   0.000     .4750318    .5082031
           $6 trillion  |   .4400772   .0096759    45.48   0.000     .4210706    .4590838
-----------------------------------------------------------------------------------------

. est sto Moderates_mm

. 
. reg program_choice i.cat_a_trans b3.cat_a_distri b3.cat_a_tax i.cat_a_cost if screener_2
> plus==1&ideo3==3, cluster(id)

Linear regression                               Number of obs     =      7,182
                                                F(13, 398)        =      40.48
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0747
                                                Root MSE          =     .48142

                                              (Std. err. adjusted for 399 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |   .0179714    .014574     1.23   0.218    -.0106803     .046623
Competed with each o..  |   .1028741   .0167603     6.14   0.000     .0699242    .1358239
                        |
           cat_a_distri |
  Lower income benefit  |  -.0209551   .0198173    -1.06   0.291    -.0599148    .0180046
Lower and middle inc..  |   .0518897   .0191754     2.71   0.007      .014192    .0895875
Higher and middle in..  |  -.1118421   .0201018    -5.56   0.000    -.1513612   -.0723231
 Higher income benefit  |   -.219247   .0200246   -10.95   0.000    -.2586142   -.1798798
                        |
              cat_a_tax |
   Higher inc pay more  |  -.0147661   .0195762    -0.75   0.451    -.0532518    .0237196
Higher and middle in..  |  -.0320787   .0202739    -1.58   0.114    -.0719361    .0077787
Lower and middle inc..  |   -.139414   .0199236    -7.00   0.000    -.1785827   -.1002453
    Lower inc pay more  |  -.1347925   .0209541    -6.43   0.000    -.1759871   -.0935979
                        |
             cat_a_cost |
           $3 trillion  |  -.0622967   .0163533    -3.81   0.000    -.0944463   -.0301471
           $4 trillion  |  -.0952305   .0165273    -5.76   0.000    -.1277222   -.0627388
           $6 trillion  |  -.1700866   .0187893    -9.05   0.000    -.2070253    -.133148
                        |
                  _cons |   .6643102   .0225822    29.42   0.000     .6199149    .7087055
-----------------------------------------------------------------------------------------

. est sto Conservatives

. margins i.cat_a_trans i.cat_a_distri i.cat_a_tax i.cat_a_cost, post

Predictive margins                                       Number of obs = 7,182
Model VCE: Robust

Expression: Linear prediction, predict()

-----------------------------------------------------------------------------------------
                        |            Delta-method
                        |     Margin   std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
  Immediately replaced  |   .4597173   .0091958    49.99   0.000      .441639    .4777957
Phased out over five..  |   .4776887   .0087336    54.70   0.000     .4605189    .4948585
Competed with each o..  |   .5625914    .009545    58.94   0.000     .5438265    .5813563
                        |
           cat_a_distri |
  Lower income benefit  |   .5391481   .0127283    42.36   0.000     .5141249    .5641713
Lower and middle inc..  |   .6119929   .0125502    48.76   0.000     .5873199    .6366659
All income groups be..  |   .5601032   .0126272    44.36   0.000     .5352789    .5849275
Higher and middle in..  |   .4482611   .0127127    35.26   0.000     .4232686    .4732536
 Higher income benefit  |   .3408562   .0130288    26.16   0.000     .3152423    .3664701
                        |
              cat_a_tax |
   Higher inc pay more  |   .5482301   .0122575    44.73   0.000     .5241326    .5723276
Higher and middle in..  |   .5309175   .0121682    43.63   0.000     .5069955    .5548395
All inc groups pay e..  |   .5629963   .0130271    43.22   0.000     .5373856    .5886069
Lower and middle inc..  |   .4235822   .0124701    33.97   0.000     .3990666    .4480978
    Lower inc pay more  |   .4282037   .0131213    32.63   0.000     .4024079    .4539995
                        |
             cat_a_cost |
           $2 trillion  |   .5814935   .0107296    54.20   0.000     .5603997    .6025872
           $3 trillion  |   .5191967   .0104349    49.76   0.000     .4986822    .5397112
           $4 trillion  |    .486263   .0100434    48.42   0.000     .4665182    .5060077
           $6 trillion  |   .4114068   .0114975    35.78   0.000     .3888033    .4340103
-----------------------------------------------------------------------------------------

. est sto Conservatives_mm

. 
. esttab Liberals Moderates Conservatives using Tables/c2.txt, tab cells("b(fmt(3))" se(pa
> r(`"("' `")"') fmt(3)) p(par(`"["' `"]"') fmt(3))) onecell label  nobaselevels nomtitles
>  eqlabels(none) star(* 0.10 ** 0.05 *** 0.01) replace
(output written to Tables/c2.txt)

. 
. **Dropping least attentive respondents (Figure C.2)
. coefplot (Liberals, label(Liberal) mcolor(gs0) ciopts(color(gs0))) (Moderates, label(Mod
> erate) mcolor(gs7) ciopts(color(gs7))) (Conservatives, label(Conservative) mcolor(gs13) 
> ciopts(color(gs13))),  omitted baselevels drop(_cons) keep(*:) xline(0, lpattern(-) lcol
> or(black)) xlabel(-.3(.1).3) xtick(-.1(.1).1) msymbol(O) msize(small) coeflabels(1.cat_a
> _trans = "Immediate replacement" 2.cat_a_trans = "Phasing out over years" 3.cat_a_trans 
> = "Competition" 1.cat_a_distri = "Lower-income citizens" 2.cat_a_distri = "Lower- and mi
> ddle-income citizens" 3.cat_a_distri = "All income groups" 4.cat_a_distri = "Higher- and
>  middle-income citizens" 5.cat_a_distri = "Higher-income citizens" 1.cat_a_tax = "Higher
> -income households" 2.cat_a_tax = "Higher- and middle-income households" 3.cat_a_tax = "
> All income groups" 4.cat_a_tax = "Lower- and middle-income households" 5.cat_a_tax = "Lo
> wer-income households" 1.cat_a_cost= "$2.4 trillion" 2.cat_a_cost= "$3.2 trillion" 3.cat
> _a_cost= "$4.3 trillion" 4.cat_a_cost= "$6.2 trillion", labsize(small)) headings(1.cat_a
> _trans = "{bf:Transition from current system}" 1.cat_a_distri = "{bf:This policy benefit
> s most for}" 1.cat_a_tax = "{bf: The main contributors to tax sources are}" 1.cat_a_cost
>  = "{bf:Total cost per year}", nogap) subtitle(, fcolor (gs15)) scale(0.7) xtitle({bf:Es
> timated AMCEs (forced choice)}) legend(pos(6) col(3) label(2 "Liberal") label(4 "Moderat
> e") label(6 "Conservative")) 

. gr_edit .b2title.style.editstyle size(small) editcopy

. gr_edit .b2title.text.Arrpush Excludes least attentive respondents 

. gr export Figures/choice_ideo_amce_2plus.png, as(png) replace
file Figures/choice_ideo_amce_2plus.png saved as PNG format

. 
. **Dropping least attentive respondents and with different reference categories (Table C.
> 3)
. reg program_choice i.cat_a_trans b4.cat_a_distri b4.cat_a_tax i.cat_a_cost if screener_2
> plus==1&ideo3==1, cluster(id) 

Linear regression                               Number of obs     =      7,308
                                                F(13, 405)        =      53.84
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1082
                                                Root MSE          =     .47264

                                              (Std. err. adjusted for 406 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |   -.000307   .0140449    -0.02   0.983     -.027917    .0273031
Competed with each o..  |   -.014802   .0152149    -0.97   0.331    -.0447121    .0151082
                        |
           cat_a_distri |
  Lower income benefit  |   .2263599   .0188455    12.01   0.000     .1893126    .2634072
Lower and middle inc..  |   .2514792   .0185583    13.55   0.000     .2149966    .2879618
All income groups be..  |   .1888366   .0197124     9.58   0.000     .1500852     .227588
 Higher income benefit  |   -.099523   .0183217    -5.43   0.000    -.1355405   -.0635055
                        |
              cat_a_tax |
   Higher inc pay more  |   .1981325    .019792    10.01   0.000     .1592246    .2370405
Higher and middle in..  |   .1714828    .019024     9.01   0.000     .1340847     .208881
All inc groups pay e..  |   .1021631   .0197977     5.16   0.000      .063244    .1410823
    Lower inc pay more  |  -.0148552   .0175441    -0.85   0.398    -.0493441    .0196337
                        |
             cat_a_cost |
           $3 trillion  |      .0032   .0160365     0.20   0.842    -.0283252    .0347252
           $4 trillion  |  -.0240474   .0160458    -1.50   0.135    -.0555909    .0074961
           $6 trillion  |  -.0329419   .0168668    -1.95   0.052    -.0660993    .0002155
                        |
                  _cons |   .3140237    .022339    14.06   0.000     .2701089    .3579385
-----------------------------------------------------------------------------------------

. est sto Liberalsr

. 
. reg program_choice i.cat_a_trans b4.cat_a_distri b4.cat_a_tax i.cat_a_cost if screener_2
> plus==1&ideo3==2, cluster(id) 

Linear regression                               Number of obs     =      9,864
                                                F(13, 547)        =      38.80
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0691
                                                Root MSE          =     .48276

                                              (Std. err. adjusted for 548 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |     .00905   .0126561     0.72   0.475    -.0158105    .0339105
Competed with each o..  |   .0468541   .0143554     3.26   0.001     .0186557    .0750525
                        |
           cat_a_distri |
  Lower income benefit  |    .141505   .0160131     8.84   0.000     .1100503    .1729598
Lower and middle inc..  |   .1771159   .0163085    10.86   0.000      .145081    .2091508
All income groups be..  |   .1349156   .0164518     8.20   0.000     .1025991    .1672322
 Higher income benefit  |  -.0948478   .0158535    -5.98   0.000     -.125989   -.0637067
                        |
              cat_a_tax |
   Higher inc pay more  |    .151971   .0160585     9.46   0.000     .1204272    .1835148
Higher and middle in..  |   .1231465   .0161565     7.62   0.000     .0914102    .1548828
All inc groups pay e..  |   .1079481   .0159099     6.78   0.000     .0766961    .1392001
    Lower inc pay more  |  -.0141154   .0150609    -0.94   0.349    -.0436997     .015469
                        |
             cat_a_cost |
           $3 trillion  |   .0032263    .014074     0.23   0.819    -.0244195    .0308721
           $4 trillion  |  -.0400841    .014718    -2.72   0.007    -.0689949   -.0111733
           $6 trillion  |  -.0916244   .0159758    -5.74   0.000    -.1230059   -.0602429
                        |
                  _cons |   .3688883   .0188547    19.56   0.000     .3318519    .4059247
-----------------------------------------------------------------------------------------

. est sto Moderatesr

. 
. reg program_choice i.cat_a_trans b4.cat_a_distri b4.cat_a_tax i.cat_a_cost if screener_2
> plus==1&ideo3==3, cluster(id)

Linear regression                               Number of obs     =      7,182
                                                F(13, 398)        =      40.48
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0747
                                                Root MSE          =     .48142

                                              (Std. err. adjusted for 399 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |   .0179714    .014574     1.23   0.218    -.0106803     .046623
Competed with each o..  |   .1028741   .0167603     6.14   0.000     .0699242    .1358239
                        |
           cat_a_distri |
  Lower income benefit  |    .090887   .0206651     4.40   0.000     .0502607    .1315134
Lower and middle inc..  |   .1637318   .0197443     8.29   0.000     .1249158    .2025479
All income groups be..  |   .1118421   .0201018     5.56   0.000     .0723231    .1513612
 Higher income benefit  |  -.1074049   .0192002    -5.59   0.000    -.1451513   -.0696584
                        |
              cat_a_tax |
   Higher inc pay more  |   .1246479   .0198081     6.29   0.000     .0857063    .1635895
Higher and middle in..  |   .1073353   .0200754     5.35   0.000     .0678682    .1468025
All inc groups pay e..  |    .139414   .0199236     7.00   0.000     .1002453    .1785827
    Lower inc pay more  |   .0046215    .018403     0.25   0.802    -.0315578    .0408008
                        |
             cat_a_cost |
           $3 trillion  |  -.0622967   .0163533    -3.81   0.000    -.0944463   -.0301471
           $4 trillion  |  -.0952305   .0165273    -5.76   0.000    -.1277222   -.0627388
           $6 trillion  |  -.1700866   .0187893    -9.05   0.000    -.2070253    -.133148
                        |
                  _cons |   .4130541   .0224951    18.36   0.000       .36883    .4572781
-----------------------------------------------------------------------------------------

. est sto Conservativesr

. 
. esttab Liberalsr Moderatesr Conservativesr using Tables/c3.txt, tab cells("b(fmt(3))" se
> (par(`"("' `")"') fmt(3)) p(par(`"["' `"]"') fmt(3))) onecell label  nobaselevels nomtit
> les eqlabels(none) star(* 0.10 ** 0.05 *** 0.01) replace
(output written to Tables/c3.txt)

. 
. **Dropping least attentive respondents (Figure C.3)
. coefplot (Liberalsr, label(Liberal) mcolor(gs0) ciopts(color(gs0))) (Moderatesr, label(M
> oderate) mcolor(gs7) ciopts(color(gs7))) (Conservativesr, label(Conservative) mcolor(gs1
> 3) ciopts(color(gs13))),  omitted baselevels drop(_cons) keep(*:) xline(0, lpattern(-) l
> color(black)) xlabel(-.3(.1).3) xtick(-.1(.1).1) msymbol(O) msize(small) coeflabels(1.ca
> t_a_trans = "Immediate replacement" 2.cat_a_trans = "Phasing out over years" 3.cat_a_tra
> ns = "Competition" 1.cat_a_distri = "Lower-income citizens" 2.cat_a_distri = "Lower- and
>  middle-income citizens" 3.cat_a_distri = "All income groups" 4.cat_a_distri = "Higher- 
> and middle-income citizens" 5.cat_a_distri = "Higher-income citizens" 1.cat_a_tax = "Hig
> her-income households" 2.cat_a_tax = "Higher- and middle-income households" 3.cat_a_tax 
> = "All income groups" 4.cat_a_tax = "Lower- and middle-income households" 5.cat_a_tax = 
> "Lower-income households" 1.cat_a_cost= "$2.4 trillion" 2.cat_a_cost= "$3.2 trillion" 3.
> cat_a_cost= "$4.3 trillion" 4.cat_a_cost= "$6.2 trillion", labsize(small)) headings(1.ca
> t_a_trans = "{bf:Transition from current system}" 1.cat_a_distri = "{bf:This policy bene
> fits most for}" 1.cat_a_tax = "{bf: The main contributors to tax sources are}" 1.cat_a_c
> ost = "{bf:Total cost per year}", nogap) subtitle(, fcolor (gs15)) scale(0.7) xtitle({bf
> :Estimated AMCEs (forced choice)}) legend(pos(6) col(3) label(2 "Liberal") label(4 "Mode
> rate") label(6 "Conservative"))

. gr_edit .b2title.style.editstyle size(small) editcopy

. gr_edit .b2title.text.Arrpush Excludes least attentive respondents 

. gr export Figures/choice_ideor_amce_2plus.png, as(png) replace
file Figures/choice_ideor_amce_2plus.png saved as PNG format

. 
. *Marginal means by ideology (with moderates)
. **All respondents (Table C.4)
. esttab Liberals_all_mm Moderates_all_mm Conservatives_all_mm using Tables/c4.txt, tab ce
> lls("b(fmt(3))" se(par(`"("' `")"') fmt(3)) p(par(`"["' `"]"') fmt(3))) onecell label  n
> obaselevels nomtitles eqlabels(none) star(* 0.10 ** 0.05 *** 0.01) replace
(output written to Tables/c4.txt)

. 
. **All respondents (Figure C.4)
. coefplot (Liberals_all_mm, label(Liberal) mcolor(gs0) ciopts(color(gs0))) (Moderates_all
> _mm, label(Moderate) mcolor(gs7) ciopts(color(gs7))) (Conservatives_all_mm, label(Conser
> vative) mcolor(gs13) ciopts(color(gs13))), omitted baselevels drop(_cons) keep(*:) xline
> (0.5, lpattern(-) lcolor(black)) xlabel(.25(.1).75) msymbol(O) msize(small) coeflabels(1
> .cat_a_trans = "Immediate replacement" 2.cat_a_trans = "Phasing out over years" 3.cat_a_
> trans = "Competition" 1.cat_a_distri = "Lower-income citizens" 2.cat_a_distri = "Lower- 
> and middle-income citizens" 3.cat_a_distri = "All income groups" 4.cat_a_distri = "Highe
> r- and middle-income citizens" 5.cat_a_distri = "Higher-income citizens" 1.cat_a_tax = "
> Higher-income households" 2.cat_a_tax = "Higher- and middle-income households" 3.cat_a_t
> ax = "All income groups" 4.cat_a_tax = "Lower- and middle-income households" 5.cat_a_tax
>  = "Lower-income households" 1.cat_a_cost= "$2.4 trillion" 2.cat_a_cost= "$3.2 trillion"
>  3.cat_a_cost= "$4.3 trillion" 4.cat_a_cost= "$6.2 trillion", labsize(small)) headings(1
> .cat_a_trans = "{bf:Transition from current system}" 1.cat_a_distri = "{bf:This policy b
> enefits most for}" 1.cat_a_tax = "{bf: The main contributors to tax sources are}" 1.cat_
> a_cost = "{bf:Total cost per year}", nogap) subtitle(, fcolor (gs15)) scale(0.7) xtitle(
> {bf:Marginal Means (forced choice)}) legend(pos(6) col(3))

. gr_edit .b2title.style.editstyle size(small) editcopy 

. gr export Figures/choice_ideo_mm.png, as(png) replace
file Figures/choice_ideo_mm.png saved as PNG format

. 
. **Dropping least attentive respondents (Table C.5)
. esttab Liberals_mm Moderates_mm Conservatives_mm using Tables/c5.txt, tab cells("b(fmt(3
> ))" se(par(`"("' `")"') fmt(3)) p(par(`"["' `"]"') fmt(3))) onecell label  nobaselevels 
> nomtitles eqlabels(none) star(* 0.10 ** 0.05 *** 0.01) replace
(output written to Tables/c5.txt)

. 
. **Dropping least attentive respondents (Figure C.5)
. coefplot (Liberals_mm, label(Liberal) mcolor(gs0) ciopts(color(gs0))) (Moderates_mm, lab
> el(Moderate) mcolor(gs7) ciopts(color(gs7))) (Conservatives_mm, label(Conservative) mcol
> or(gs13) ciopts(color(gs13))), omitted baselevels drop(_cons) keep(*:) xline(0.5, lpatte
> rn(-) lcolor(black)) xlabel(.25(.1).75) msymbol(O) msize(small) coeflabels(1.cat_a_trans
>  = "Immediate replacement" 2.cat_a_trans = "Phasing out over years" 3.cat_a_trans = "Com
> petition" 1.cat_a_distri = "Lower-income citizens" 2.cat_a_distri = "Lower- and middle-i
> ncome citizens" 3.cat_a_distri = "All income groups" 4.cat_a_distri = "Higher- and middl
> e-income citizens" 5.cat_a_distri = "Higher-income citizens" 1.cat_a_tax = "Higher-incom
> e households" 2.cat_a_tax = "Higher- and middle-income households" 3.cat_a_tax = "All in
> come groups" 4.cat_a_tax = "Lower- and middle-income households" 5.cat_a_tax = "Lower-in
> come households" 1.cat_a_cost= "$2.4 trillion" 2.cat_a_cost= "$3.2 trillion" 3.cat_a_cos
> t= "$4.3 trillion" 4.cat_a_cost= "$6.2 trillion", labsize(small)) headings(1.cat_a_trans
>  = "{bf:Transition from current system}" 1.cat_a_distri = "{bf:This policy benefits most
>  for}" 1.cat_a_tax = "{bf: The main contributors to tax sources are}" 1.cat_a_cost = "{b
> f:Total cost per year}", nogap) subtitle(, fcolor (gs15)) scale(0.7) xtitle({bf:Marginal
>  Means (forced choice)}) legend(pos(6) col(3))

. gr_edit .b2title.style.editstyle size(small) editcopy 

. gr_edit .b2title.text.Arrpush Excludes least attentive respondents 

. gr export Figures/choice_ideo_mm_2plus.png, as(png) replace
file Figures/choice_ideo_mm_2plus.png saved as PNG format

. 
. *AMCE 
. **All respondents (Table C.6)
. reg program_choice i.cat_a_trans b3.cat_a_distri b3.cat_a_tax i.cat_a_cost, cluster(id)

Linear regression                               Number of obs     =     29,484
                                                F(13, 1637)       =      98.29
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0585
                                                Root MSE          =     .48527

                                            (Std. err. adjusted for 1,638 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |   .0072945   .0071997     1.01   0.311    -.0068271    .0214162
Competed with each o..  |   .0418248   .0080857     5.17   0.000     .0259654    .0576842
                        |
           cat_a_distri |
  Lower income benefit  |   .0129994   .0096439     1.35   0.178    -.0059163    .0319151
Lower and middle inc..  |   .0445336   .0094615     4.71   0.000     .0259756    .0630916
Higher and middle in..  |  -.1258264   .0097749   -12.87   0.000     -.144999   -.1066537
 Higher income benefit  |  -.2125323   .0100999   -21.04   0.000    -.2323423   -.1927223
                        |
              cat_a_tax |
   Higher inc pay more  |   .0376782   .0093353     4.04   0.000     .0193678    .0559887
Higher and middle in..  |   .0169275   .0096634     1.75   0.080    -.0020264    .0358814
Lower and middle inc..  |  -.0960743   .0096896    -9.92   0.000    -.1150796    -.077069
    Lower inc pay more  |  -.1099247   .0097252   -11.30   0.000    -.1289998   -.0908496
                        |
             cat_a_cost |
           $3 trillion  |  -.0143547   .0081119    -1.77   0.077    -.0302656    .0015562
           $4 trillion  |  -.0444379   .0083379    -5.33   0.000    -.0607919   -.0280839
           $6 trillion  |  -.0884046   .0091196    -9.69   0.000    -.1062919   -.0705172
                        |
                  _cons |   .6065315     .01121    54.11   0.000     .5845441     .628519
-----------------------------------------------------------------------------------------

. est sto All

. margins i.cat_a_trans i.cat_a_distri i.cat_a_tax i.cat_a_cost, post

Predictive margins                                      Number of obs = 29,484
Model VCE: Robust

Expression: Linear prediction, predict()

-----------------------------------------------------------------------------------------
                        |            Delta-method
                        |     Margin   std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
  Immediately replaced  |   .4835887   .0045061   107.32   0.000     .4747505    .4924269
Phased out over five..  |   .4908832   .0041677   117.78   0.000     .4827087    .4990578
Competed with each o..  |   .5254135   .0046022   114.16   0.000     .5163866    .5344404
                        |
           cat_a_distri |
  Lower income benefit  |   .5693457   .0062114    91.66   0.000     .5571625    .5815289
Lower and middle inc..  |   .6008799   .0061546    97.63   0.000     .5888081    .6129517
All income groups be..  |   .5563463    .006184    89.97   0.000      .544217    .5684756
Higher and middle in..  |   .4305199   .0060627    71.01   0.000     .4186285    .4424113
 Higher income benefit  |   .3438139    .006567    52.36   0.000     .3309334    .3566945
                        |
              cat_a_tax |
   Higher inc pay more  |   .5678105   .0060074    94.52   0.000     .5560275    .5795935
Higher and middle in..  |   .5470598   .0060724    90.09   0.000     .5351492    .5589703
All inc groups pay e..  |   .5301323     .00616    86.06   0.000     .5180499    .5422146
Lower and middle inc..  |    .434058   .0060274    72.01   0.000     .4222357    .4458802
    Lower inc pay more  |   .4202075    .006167    68.14   0.000     .4081114    .4323037
                        |
             cat_a_cost |
           $2 trillion  |   .5364643   .0053412   100.44   0.000      .525988    .5469406
           $3 trillion  |   .5221096   .0050143   104.12   0.000     .5122744    .5319448
           $4 trillion  |   .4920264    .004925    99.90   0.000     .4823665    .5016863
           $6 trillion  |   .4480597   .0054868    81.66   0.000     .4372979    .4588215
-----------------------------------------------------------------------------------------

. est sto All_mm

. 
. **Dropping least attentive respondents (Table C.6)
. reg program_choice i.cat_a_trans b3.cat_a_distri b3.cat_a_tax i.cat_a_cost if screener_2
> plus==1, cluster(id) 

Linear regression                               Number of obs     =     24,354
                                                F(13, 1352)       =     115.66
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0764
                                                Root MSE          =     .48065

                                            (Std. err. adjusted for 1,353 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |   .0088818    .007936     1.12   0.263    -.0066864    .0244501
Competed with each o..  |   .0446616   .0089693     4.98   0.000     .0270663    .0622569
                        |
           cat_a_distri |
  Lower income benefit  |   .0082494   .0107521     0.77   0.443    -.0128432    .0293421
Lower and middle inc..  |   .0516386   .0104145     4.96   0.000     .0312082     .072069
Higher and middle in..  |  -.1446104   .0107562   -13.44   0.000    -.1657109   -.1235098
 Higher income benefit  |  -.2442783   .0109509   -22.31   0.000    -.2657609   -.2227958
                        |
              cat_a_tax |
   Higher inc pay more  |   .0424196    .010368     4.09   0.000     .0220806    .0627586
Higher and middle in..  |   .0164286   .0106343     1.54   0.123    -.0044328    .0372901
Lower and middle inc..  |  -.1157534    .010569   -10.95   0.000    -.1364868     -.09502
    Lower inc pay more  |  -.1255541   .0107631   -11.67   0.000    -.1466683     -.10444
                        |
             cat_a_cost |
           $3 trillion  |  -.0156905    .008943    -1.75   0.080    -.0332342    .0018532
           $4 trillion  |  -.0511583   .0091041    -5.62   0.000    -.0690181   -.0332986
           $6 trillion  |  -.0971132   .0100197    -9.69   0.000    -.1167691   -.0774573
                        |
                  _cons |   .6253922   .0121735    51.37   0.000     .6015111    .6492733
-----------------------------------------------------------------------------------------

. est sto All_plus

. margins i.cat_a_trans i.cat_a_distri i.cat_a_tax i.cat_a_cost, post

Predictive margins                                      Number of obs = 24,354
Model VCE: Robust

Expression: Linear prediction, predict()

-----------------------------------------------------------------------------------------
                        |            Delta-method
                        |     Margin   std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
  Immediately replaced  |   .4821771   .0050027    96.38   0.000     .4723631     .491991
Phased out over five..  |   .4910589    .004601   106.73   0.000      .482033    .5000848
Competed with each o..  |   .5268386   .0051084   103.13   0.000     .5168174    .5368599
                        |
           cat_a_distri |
  Lower income benefit  |   .5745801   .0068983    83.29   0.000     .5610475    .5881127
Lower and middle inc..  |   .6179693   .0067329    91.78   0.000     .6047613    .6311773
All income groups be..  |   .5663307   .0068651    82.49   0.000     .5528632    .5797981
Higher and middle in..  |   .4217203   .0066022    63.88   0.000     .4087686     .434672
 Higher income benefit  |   .3220523    .007072    45.54   0.000      .308179    .3359257
                        |
              cat_a_tax |
   Higher inc pay more  |   .5787336    .006654    86.98   0.000     .5656804    .5917868
Higher and middle in..  |   .5527427   .0066155    83.55   0.000     .5397648    .5657205
All inc groups pay e..  |    .536314    .006808    78.78   0.000     .5229586    .5496695
Lower and middle inc..  |   .4205606   .0066021    63.70   0.000     .4076092    .4335121
    Lower inc pay more  |   .4107599   .0067752    60.63   0.000     .3974689     .424051
                        |
             cat_a_cost |
           $2 trillion  |   .5405704   .0058589    92.26   0.000     .5290769     .552064
           $3 trillion  |   .5248799   .0055504    94.57   0.000     .5139916    .5357683
           $4 trillion  |   .4894121   .0054153    90.38   0.000     .4787888    .5000354
           $6 trillion  |   .4434572   .0060937    72.77   0.000      .431503    .4554114
-----------------------------------------------------------------------------------------

. est sto All_plus_mm

. 
. esttab All All_plus using Tables/c6.txt, tab cells("b(fmt(3))" se(par(`"("' `")"') fmt(3
> )) p(par(`"["' `"]"') fmt(3))) onecell label  nobaselevels nomtitles eqlabels(none) star
> (* 0.10 ** 0.05 *** 0.01) replace
(output written to Tables/c6.txt)

. 
. **All respondents (Figure C.6)
. coefplot All, omitted baselevels drop(_cons) keep(*:) xline(0, lpattern(-) lcolor(black)
> ) xlabel(-.3(.1).3) xtick(-.1(.1).1) coeflabels(1.cat_a_trans = "Immediate replacement" 
> 2.cat_a_trans = "Phasing out over years" 3.cat_a_trans = "Competition" 1.cat_a_distri = 
> "Lower-income citizens" 2.cat_a_distri = "Lower- and middle-income citizens" 3.cat_a_dis
> tri = "All income groups" 4.cat_a_distri = "Higher- and middle-income citizens" 5.cat_a_
> distri = "Higher-income citizens" 1.cat_a_tax = "Higher-income households" 2.cat_a_tax =
>  "Higher- and middle-income households" 3.cat_a_tax = "All income groups" 4.cat_a_tax = 
> "Lower- and middle-income households" 5.cat_a_tax = "Lower-income households" 1.cat_a_co
> st= "$2.4 trillion" 2.cat_a_cost= "$3.2 trillion" 3.cat_a_cost= "$4.3 trillion" 4.cat_a_
> cost= "$6.2 trillion", labsize(small)) headings(1.cat_a_trans = "{bf:Transition from cur
> rent system}" 1.cat_a_distri = "{bf:This policy benefits most for}" 1.cat_a_tax = "{bf: 
> The main contributors to tax sources are}" 1.cat_a_cost = "{bf:Total cost per year}", no
> gap)subtitle(, fcolor (gs15)) scale(0.7) xtitle({bf:Estimated AMCEs (forced choice)}) 

. gr_edit .b2title.style.editstyle size(small) editcopy

. gr export Figures/choice_overall_amce.png, as(png) replace
file Figures/choice_overall_amce.png saved as PNG format

. 
. **Dropping least attentive respondents (Figure C.7)
. coefplot All_plus, omitted baselevels drop(_cons) keep(*:) xline(0, lpattern(-) lcolor(b
> lack)) xlabel(-.3(.1).3) xtick(-.1(.1).1) coeflabels(1.cat_a_trans = "Immediate replacem
> ent" 2.cat_a_trans = "Phasing out over years" 3.cat_a_trans = "Competition" 1.cat_a_dist
> ri = "Lower-income citizens" 2.cat_a_distri = "Lower- and middle-income citizens" 3.cat_
> a_distri = "All income groups" 4.cat_a_distri = "Higher- and middle-income citizens" 5.c
> at_a_distri = "Higher-income citizens" 1.cat_a_tax = "Higher-income households" 2.cat_a_
> tax = "Higher- and middle-income households" 3.cat_a_tax = "All income groups" 4.cat_a_t
> ax = "Lower- and middle-income households" 5.cat_a_tax = "Lower-income households" 1.cat
> _a_cost= "$2.4 trillion" 2.cat_a_cost= "$3.2 trillion" 3.cat_a_cost= "$4.3 trillion" 4.c
> at_a_cost= "$6.2 trillion", labsize(small)) headings(1.cat_a_trans = "{bf:Transition fro
> m current system}" 1.cat_a_distri = "{bf:This policy benefits most for}" 1.cat_a_tax = "
> {bf: The main contributors to tax sources are}" 1.cat_a_cost = "{bf:Total cost per year}
> ", nogap)subtitle(, fcolor (gs15)) scale(0.7) xtitle({bf:Estimated AMCEs (forced choice)
> }) 

. gr_edit .b2title.style.editstyle size(small) editcopy

. gr_edit .b2title.text.Arrpush Excludes least attentive respondents

. gr export Figures/choice_overall_amce_2plus.png, as(png) replace
file Figures/choice_overall_amce_2plus.png saved as PNG format

. 
. *Marginal means 
. **All respondents and dropping least attentive respondents (Table C.7)
. esttab All_mm All_plus_mm using Tables/c7.txt, tab cells("b(fmt(3))" se(par(`"("' `")"')
>  fmt(3)) p(par(`"["' `"]"') fmt(3))) onecell label  nobaselevels nomtitles eqlabels(none
> ) star(* 0.10 ** 0.05 *** 0.01) replace
(output written to Tables/c7.txt)

. 
. **All respondents (Figure C.8)
. coefplot All_mm, omitted baselevels drop(_cons) keep(*:) xline(0.5, lpattern(-) lcolor(b
> lack)) xlabel(.25(.1).75) msymbol(O) msize(small) coeflabels(1.cat_a_trans = "Immediate 
> replacement" 2.cat_a_trans = "Phasing out over years" 3.cat_a_trans = "Competition" 1.ca
> t_a_distri = "Lower-income citizens" 2.cat_a_distri = "Lower- and middle-income citizens
> " 3.cat_a_distri = "All income groups" 4.cat_a_distri = "Higher- and middle-income citiz
> ens" 5.cat_a_distri = "Higher-income citizens" 1.cat_a_tax = "Higher-income households" 
> 2.cat_a_tax = "Higher- and middle-income households" 3.cat_a_tax = "All income groups" 4
> .cat_a_tax = "Lower- and middle-income households" 5.cat_a_tax = "Lower-income household
> s" 1.cat_a_cost= "$2.4 trillion" 2.cat_a_cost= "$3.2 trillion" 3.cat_a_cost= "$4.3 trill
> ion" 4.cat_a_cost= "$6.2 trillion", labsize(small)) headings(1.cat_a_trans = "{bf:Transi
> tion from current system}" 1.cat_a_distri = "{bf:This policy benefits most for}" 1.cat_a
> _tax = "{bf: The main contributors to tax sources are}" 1.cat_a_cost = "{bf:Total cost p
> er year}", nogap) subtitle(, fcolor (gs15)) scale(0.7) xtitle({bf:Marginal Means (forced
>  choice)})

. gr_edit .b2title.style.editstyle size(small) editcopy

. gr export Figures/choice_overall_mm.png, as(png) replace
file Figures/choice_overall_mm.png saved as PNG format

. 
. **Dropping least attentive respondents (Figure C.9)
. coefplot All_plus_mm, omitted baselevels drop(_cons) keep(*:) xline(0.5, lpattern(-) lco
> lor(black)) xlabel(.25(.1).75) msymbol(O) msize(small) coeflabels(1.cat_a_trans = "Immed
> iate replacement" 2.cat_a_trans = "Phasing out over years" 3.cat_a_trans = "Competition"
>  1.cat_a_distri = "Lower-income citizens" 2.cat_a_distri = "Lower- and middle-income cit
> izens" 3.cat_a_distri = "All income groups" 4.cat_a_distri = "Higher- and middle-income 
> citizens" 5.cat_a_distri = "Higher-income citizens" 1.cat_a_tax = "Higher-income househo
> lds" 2.cat_a_tax = "Higher- and middle-income households" 3.cat_a_tax = "All income grou
> ps" 4.cat_a_tax = "Lower- and middle-income households" 5.cat_a_tax = "Lower-income hous
> eholds" 1.cat_a_cost= "$2.4 trillion" 2.cat_a_cost= "$3.2 trillion" 3.cat_a_cost= "$4.3 
> trillion" 4.cat_a_cost= "$6.2 trillion", labsize(small)) headings(1.cat_a_trans = "{bf:T
> ransition from current system}" 1.cat_a_distri = "{bf:This policy benefits most for}" 1.
> cat_a_tax = "{bf: The main contributors to tax sources are}" 1.cat_a_cost = "{bf:Total c
> ost per year}", nogap) subtitle(, fcolor (gs15)) scale(0.7) xtitle({bf:Marginal Means (f
> orced choice)})

. gr_edit .b2title.style.editstyle size(small) editcopy

. gr_edit .b2title.text.Arrpush Excludes least attentive respondents

. gr export Figures/choice_overall_mm_2plus.png, as(png) replace
file Figures/choice_overall_mm_2plus.png saved as PNG format

. 
. *Interaction analyses
. **Distribution results * Tax sources (Table C.8)
. reg program_choice ib3.cat_a_distri##ib3.cat_a_tax i.cat_a_trans i.cat_a_cost if screene
> r_2plus==1&ideo3==1, cluster(id) 

Linear regression                               Number of obs     =      7,308
                                                F(29, 405)        =      25.68
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1102
                                                Root MSE          =     .47262

                                              (Std. err. adjusted for 406 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           cat_a_distri |
  Lower income benefit  |   .0209631   .0417047     0.50   0.615    -.0610216    .1029478
Lower and middle inc..  |   .0643477   .0449362     1.43   0.153    -.0239896    .1526849
Higher and middle in..  |  -.1764272    .044438    -3.97   0.000    -.2637852   -.0890692
 Higher income benefit  |  -.2831837     .04148    -6.83   0.000    -.3647268   -.2016406
                        |
              cat_a_tax |
   Higher inc pay more  |   .1518969   .0427194     3.56   0.000     .0679174    .2358763
Higher and middle in..  |   .0784489   .0427682     1.83   0.067    -.0056264    .1625243
Lower and middle inc..  |  -.1113777   .0447277    -2.49   0.013    -.1993051   -.0234504
    Lower inc pay more  |  -.1714375   .0431242    -3.98   0.000    -.2562127   -.0866623
                        |
 cat_a_distri#cat_a_tax |
  Lower income benefit #|
   Higher inc pay more  |  -.0226853   .0551696    -0.41   0.681    -.1311398    .0857693
  Lower income benefit #|
Higher and middle in..  |   .0101631   .0578024     0.18   0.861    -.1034672    .1237933
  Lower income benefit #|
Lower and middle inc..  |     .02078   .0597604     0.35   0.728    -.0966994    .1382594
  Lower income benefit #|
    Lower inc pay more  |   .0750155   .0593932     1.26   0.207    -.0417419    .1917729
Lower and middle inc.. #|
   Higher inc pay more  |  -.0567153   .0590057    -0.96   0.337     -.172711    .0592804
Lower and middle inc.. #|
Higher and middle in..  |  -.0045678   .0599762    -0.08   0.939    -.1224714    .1133358
Lower and middle inc.. #|
Lower and middle inc..  |   .0064725   .0613681     0.11   0.916    -.1141674    .1271124
Lower and middle inc.. #|
    Lower inc pay more  |   .0481065   .0593217     0.81   0.418    -.0685104    .1647233
Higher and middle in.. #|
   Higher inc pay more  |  -.0860695   .0585168    -1.47   0.142     -.201104     .028965
Higher and middle in.. #|
Higher and middle in..  |  -.0247272   .0585686    -0.42   0.673    -.1398635    .0904092
Higher and middle in.. #|
Lower and middle inc..  |  -.0037345    .060356    -0.06   0.951    -.1223847    .1149157
Higher and middle in.. #|
    Lower inc pay more  |   .0527242   .0567167     0.93   0.353    -.0587718    .1642201
 Higher income benefit #|
   Higher inc pay more  |  -.1138945   .0572449    -1.99   0.047    -.2264288   -.0013602
 Higher income benefit #|
Higher and middle in..  |  -.0265649   .0548169    -0.48   0.628    -.1343261    .0811963
 Higher income benefit #|
Lower and middle inc..  |   .0232517   .0568405     0.41   0.683    -.0884876    .1349911
 Higher income benefit #|
    Lower inc pay more  |   .0917777   .0562066     1.63   0.103    -.0187153    .2022708
                        |
            cat_a_trans |
Phased out over five..  |  -.0013887   .0140812    -0.10   0.921      -.02907    .0262926
Competed with each o..  |   -.014563   .0152588    -0.95   0.340    -.0445594    .0154333
                        |
             cat_a_cost |
           $3 trillion  |   .0048802   .0159683     0.31   0.760     -.026511    .0362713
           $4 trillion  |  -.0227116   .0160676    -1.41   0.158     -.054298    .0088748
           $6 trillion  |  -.0318215    .016883    -1.88   0.060    -.0650107    .0013677
                        |
                  _cons |    .603767   .0326249    18.51   0.000     .5396316    .6679023
-----------------------------------------------------------------------------------------

. est sto inter_ldrts

. 
. reg program_choice ib3.cat_a_distri##ib3.cat_a_tax i.cat_a_trans i.cat_a_cost if screene
> r_2plus==1&ideo3==3, cluster(id) 

Linear regression                               Number of obs     =      7,182
                                                F(29, 398)        =      20.78
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0779
                                                Root MSE          =     .48115

                                              (Std. err. adjusted for 399 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           cat_a_distri |
  Lower income benefit  |  -.0158573   .0382758    -0.41   0.679    -.0911054    .0593907
Lower and middle inc..  |   .0418312   .0358151     1.17   0.244    -.0285792    .1122417
Higher and middle in..  |   -.145445   .0379856    -3.83   0.000    -.2201224   -.0707676
 Higher income benefit  |  -.2347096   .0386055    -6.08   0.000    -.3106057   -.1588135
                        |
              cat_a_tax |
   Higher inc pay more  |   .0010179   .0411191     0.02   0.980    -.0798199    .0818557
Higher and middle in..  |  -.0102301    .039448    -0.26   0.796    -.0877825    .0673223
Lower and middle inc..  |  -.2408597   .0382813    -6.29   0.000    -.3161185   -.1656008
    Lower inc pay more  |  -.1306814   .0404845    -3.23   0.001    -.2102716   -.0510913
                        |
 cat_a_distri#cat_a_tax |
  Lower income benefit #|
   Higher inc pay more  |  -.0640212   .0533781    -1.20   0.231    -.1689594     .040917
  Lower income benefit #|
Higher and middle in..  |  -.0570806   .0540904    -1.06   0.292    -.1634191    .0492579
  Lower income benefit #|
Lower and middle inc..  |   .1152335   .0545749     2.11   0.035     .0079424    .2225247
  Lower income benefit #|
    Lower inc pay more  |  -.0146423   .0565793    -0.26   0.796    -.1258739    .0965893
Lower and middle inc.. #|
   Higher inc pay more  |   .0050839   .0538412     0.09   0.925    -.1007647    .1109325
Lower and middle inc.. #|
Higher and middle in..  |  -.0200219   .0522487    -0.38   0.702    -.1227399     .082696
Lower and middle inc.. #|
Lower and middle inc..  |   .0969282   .0519077     1.87   0.063    -.0051194    .1989758
Lower and middle inc.. #|
    Lower inc pay more  |  -.0267919   .0496911    -0.54   0.590    -.1244818     .070898
Higher and middle in.. #|
   Higher inc pay more  |   -.017879   .0575665    -0.31   0.756    -.1310513    .0952934
Higher and middle in.. #|
Higher and middle in..  |   .0038384   .0531166     0.07   0.942    -.1005857    .1082626
Higher and middle in.. #|
Lower and middle inc..  |    .141381   .0575164     2.46   0.014     .0283071    .2544549
Higher and middle in.. #|
    Lower inc pay more  |    .050248   .0525154     0.96   0.339    -.0529941    .1534902
 Higher income benefit #|
   Higher inc pay more  |  -.0031602   .0569818    -0.06   0.956    -.1151831    .1088627
 Higher income benefit #|
Higher and middle in..  |  -.0370599   .0511524    -0.72   0.469    -.1376225    .0635027
 Higher income benefit #|
Lower and middle inc..  |    .152612   .0548655     2.78   0.006     .0447496    .2604744
 Higher income benefit #|
    Lower inc pay more  |  -.0302973   .0566442    -0.53   0.593    -.1416564    .0810619
                        |
            cat_a_trans |
Phased out over five..  |   .0181712   .0145959     1.24   0.214    -.0105236    .0468659
Competed with each o..  |   .1028915   .0167538     6.14   0.000     .0699546    .1358284
                        |
             cat_a_cost |
           $3 trillion  |  -.0629926   .0164239    -3.84   0.000    -.0952811   -.0307042
           $4 trillion  |  -.0964612   .0165825    -5.82   0.000    -.1290615   -.0638608
           $6 trillion  |    -.17081   .0187935    -9.09   0.000    -.2077569   -.1338631
                        |
                  _cons |   .6758997    .030569    22.11   0.000     .6158028    .7359966
-----------------------------------------------------------------------------------------

. est sto inter_cdrts

. 
. esttab inter_ldrts inter_cdrts using Tables/c8.txt, tab cells("b(fmt(3))" se(par(`"("' `
> ")"') fmt(3)) p(par(`"["' `"]"') fmt(3))) r2 onecell label  nobaselevels nomtitles eqlab
> els(none) star(* 0.10 ** 0.05 *** 0.01) replace
(output written to Tables/c8.txt)

. 
. **Distribution results * Cost (Table C.9)
. reg program_choice ib3.cat_a_distri##i.cat_a_cost b3.cat_a_tax i.cat_a_trans if screener
> _2plus==1&ideo3==1, cluster(id) 

Linear regression                               Number of obs     =      7,308
                                                F(25, 405)        =      29.21
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1095
                                                Root MSE          =     .47266

                                              (Std. err. adjusted for 406 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           cat_a_distri |
  Lower income benefit  |    .067738   .0352751     1.92   0.056    -.0016071    .1370831
Lower and middle inc..  |   .0574486   .0363294     1.58   0.115    -.0139693    .1288664
Higher and middle in..  |  -.1800513   .0374478    -4.81   0.000    -.2536676    -.106435
 Higher income benefit  |  -.2836522   .0340674    -8.33   0.000    -.3506233   -.2166812
                        |
             cat_a_cost |
           $3 trillion  |   .0104513   .0378893     0.28   0.783     -.064033    .0849356
           $4 trillion  |  -.0263376   .0351174    -0.75   0.454    -.0953727    .0426974
           $6 trillion  |  -.0037002   .0372135    -0.10   0.921     -.076856    .0694556
                        |
cat_a_distri#cat_a_cost |
  Lower income benefit #|
           $3 trillion  |  -.0202135   .0510907    -0.40   0.693    -.1206497    .0802226
  Lower income benefit #|
           $4 trillion  |  -.0523826   .0503528    -1.04   0.299    -.1513682     .046603
  Lower income benefit #|
           $6 trillion  |   -.054844   .0514117    -1.07   0.287     -.155911    .0462231
Lower and middle inc.. #|
           $3 trillion  |  -.0006318   .0528107    -0.01   0.990    -.1044491    .1031854
Lower and middle inc.. #|
           $4 trillion  |    .014025   .0502748     0.28   0.780     -.084807    .1128571
Lower and middle inc.. #|
           $6 trillion  |   .0067008    .051831     0.13   0.897    -.0951906    .1085922
Higher and middle in.. #|
           $3 trillion  |   .0162563   .0541468     0.30   0.764    -.0901875    .1227001
Higher and middle in.. #|
           $4 trillion  |    .013024   .0506834     0.26   0.797    -.0866114    .1126594
Higher and middle in.. #|
           $6 trillion  |  -.0655619   .0521051    -1.26   0.209    -.1679921    .0368683
 Higher income benefit #|
           $3 trillion  |  -.0331769   .0501615    -0.66   0.509    -.1317864    .0654325
 Higher income benefit #|
           $4 trillion  |   .0380584   .0481191     0.79   0.429     -.056536    .1326529
 Higher income benefit #|
           $6 trillion  |  -.0261135   .0508624    -0.51   0.608    -.1261008    .0738737
                        |
              cat_a_tax |
   Higher inc pay more  |   .0955687   .0188475     5.07   0.000     .0585175    .1326198
Higher and middle in..  |   .0692814   .0192453     3.60   0.000     .0314481    .1071146
Lower and middle inc..  |  -.1016695   .0198004    -5.13   0.000    -.1405939   -.0627451
    Lower inc pay more  |  -.1167253   .0187874    -6.21   0.000    -.1536584   -.0797922
                        |
            cat_a_trans |
Phased out over five..  |  -.0009546   .0142036    -0.07   0.946    -.0288766    .0269673
Competed with each o..  |  -.0159015     .01531    -1.04   0.300    -.0459985    .0141955
                        |
                  _cons |   .5974032   .0300537    19.88   0.000     .5383225    .6564839
-----------------------------------------------------------------------------------------

. est sto inter_ldrc

. 
. reg program_choice ib3.cat_a_distri##i.cat_a_cost b3.cat_a_tax i.cat_a_trans if screener
> _2plus==1&ideo3==3, cluster(id) 

Linear regression                               Number of obs     =      7,182
                                                F(25, 398)        =      22.66
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0764
                                                Root MSE          =     .48139

                                              (Std. err. adjusted for 399 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
           cat_a_distri |
  Lower income benefit  |   .0370373   .0379391     0.98   0.330    -.0375487    .1116234
Lower and middle inc..  |   .0600418   .0354468     1.69   0.091    -.0096446    .1297283
Higher and middle in..  |  -.1106632   .0365939    -3.02   0.003    -.1826047   -.0387216
 Higher income benefit  |  -.1691475    .039667    -4.26   0.000    -.2471306   -.0911644
                        |
             cat_a_cost |
           $3 trillion  |  -.0291434   .0350532    -0.83   0.406    -.0980559    .0397691
           $4 trillion  |  -.0503196     .03449    -1.46   0.145    -.1181249    .0174857
           $6 trillion  |  -.1558819   .0387425    -4.02   0.000    -.2320475   -.0797164
                        |
cat_a_distri#cat_a_cost |
  Lower income benefit #|
           $3 trillion  |  -.0631113   .0509072    -1.24   0.216    -.1631918    .0369693
  Lower income benefit #|
           $4 trillion  |  -.0968844   .0490606    -1.97   0.049    -.1933347    -.000434
  Lower income benefit #|
           $6 trillion  |  -.0705246   .0511357    -1.38   0.169    -.1710544    .0300053
Lower and middle inc.. #|
           $3 trillion  |  -.0361849   .0464699    -0.78   0.437    -.1275421    .0551724
Lower and middle inc.. #|
           $4 trillion  |  -.0094367   .0477546    -0.20   0.843    -.1033195    .0844461
Lower and middle inc.. #|
           $6 trillion  |   .0157673   .0542215     0.29   0.771    -.0908291    .1223637
Higher and middle in.. #|
           $3 trillion  |  -.0216903   .0505154    -0.43   0.668    -.1210007      .07762
Higher and middle in.. #|
           $4 trillion  |  -.0032217   .0484732    -0.07   0.947    -.0985172    .0920738
Higher and middle in.. #|
           $6 trillion  |   .0198793   .0520329     0.38   0.703    -.0824144    .1221731
 Higher income benefit #|
           $3 trillion  |  -.0455209   .0519111    -0.88   0.381    -.1475752    .0565333
 Higher income benefit #|
           $4 trillion  |  -.1136472   .0504419    -2.25   0.025    -.2128131   -.0144812
 Higher income benefit #|
           $6 trillion  |  -.0382076   .0531191    -0.72   0.472    -.1426367    .0662214
                        |
              cat_a_tax |
   Higher inc pay more  |  -.0150833   .0195578    -0.77   0.441    -.0535328    .0233662
Higher and middle in..  |   -.033342   .0202406    -1.65   0.100    -.0731339      .00645
Lower and middle inc..  |  -.1398527   .0199788    -7.00   0.000    -.1791299   -.1005756
    Lower inc pay more  |  -.1351672   .0209975    -6.44   0.000     -.176447   -.0938873
                        |
            cat_a_trans |
Phased out over five..  |   .0182815   .0146242     1.25   0.212    -.0104687    .0470318
Competed with each o..  |   .1022345   .0167999     6.09   0.000     .0692068    .1352622
                        |
                  _cons |    .641902   .0302669    21.21   0.000     .5823991    .7014049
-----------------------------------------------------------------------------------------

. est sto inter_cdrc 

. 
. esttab inter_ldrc inter_cdrc using Tables/c9.txt, tab cells("b(fmt(3))" se(par(`"("' `")
> "') fmt(3)) p(par(`"["' `"]"') fmt(3))) r2 onecell label  nobaselevels nomtitles eqlabel
> s(none) star(* 0.10 ** 0.05 *** 0.01) replace
(output written to Tables/c9.txt)

. 
. *Differences across rounds
. **Conditional ACMEs
. reg program_choice i.cat_a_trans b3.cat_a_distri b3.cat_a_tax i.cat_a_cost if screener_2
> plus==1 & (expand == 1| expand ==2), cluster(id)

Linear regression                               Number of obs     =      2,706
                                                F(13, 1352)       =      20.96
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0770
                                                Root MSE          =     .48162

                                            (Std. err. adjusted for 1,353 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |   .0053783    .023341     0.23   0.818    -.0404102    .0511667
Competed with each o..  |   .0375922   .0232424     1.62   0.106    -.0080028    .0831872
                        |
           cat_a_distri |
  Lower income benefit  |  -.0183847   .0300745    -0.61   0.541    -.0773825    .0406131
Lower and middle inc..  |   .0702432   .0303419     2.32   0.021     .0107209    .1297655
Higher and middle in..  |  -.1327771   .0290845    -4.57   0.000    -.1898328   -.0757215
 Higher income benefit  |  -.2212881    .029522    -7.50   0.000     -.279202   -.1633742
                        |
              cat_a_tax |
   Higher inc pay more  |   .0415383   .0294383     1.41   0.158    -.0162115     .099288
Higher and middle in..  |  -.0048824   .0305142    -0.16   0.873    -.0647427     .054978
Lower and middle inc..  |  -.1565183   .0292972    -5.34   0.000    -.2139912   -.0990453
    Lower inc pay more  |  -.1277607   .0304804    -4.19   0.000    -.1875548   -.0679666
                        |
             cat_a_cost |
           $3 trillion  |  -.0111251   .0261116    -0.43   0.670    -.0623487    .0400986
           $4 trillion  |   -.065505   .0266987    -2.45   0.014    -.1178804   -.0131297
           $6 trillion  |  -.1205777   .0263791    -4.57   0.000    -.1723261   -.0688292
                        |
                  _cons |   .6480853   .0328913    19.70   0.000     .5835618    .7126089
-----------------------------------------------------------------------------------------

. est sto round1

. 
. reg program_choice i.cat_a_trans b3.cat_a_distri b3.cat_a_tax i.cat_a_cost if screener_2
> plus==1 & (expand == 3| expand ==4), cluster(id)

Linear regression                               Number of obs     =      2,706
                                                F(13, 1352)       =      23.37
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0863
                                                Root MSE          =     .47919

                                            (Std. err. adjusted for 1,353 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |   .0163977   .0223347     0.73   0.463    -.0274167     .060212
Competed with each o..  |   .0684494     .02291     2.99   0.003     .0235064    .1133925
                        |
           cat_a_distri |
  Lower income benefit  |   .0075052    .030229     0.25   0.804    -.0517956    .0668061
Lower and middle inc..  |   .0540436   .0294147     1.84   0.066    -.0036598     .111747
Higher and middle in..  |  -.1740844   .0297445    -5.85   0.000    -.2324348    -.115734
 Higher income benefit  |  -.2520075   .0290118    -8.69   0.000    -.3089206   -.1950944
                        |
              cat_a_tax |
   Higher inc pay more  |   .0289519   .0295798     0.98   0.328    -.0290754    .0869791
Higher and middle in..  |   .0353634   .0294489     1.20   0.230    -.0224071    .0931338
Lower and middle inc..  |  -.1246972    .029948    -4.16   0.000    -.1834467   -.0659477
    Lower inc pay more  |   -.106332    .029317    -3.63   0.000    -.1638437   -.0488203
                        |
             cat_a_cost |
           $3 trillion  |   .0046782   .0262696     0.18   0.859    -.0468555    .0562118
           $4 trillion  |  -.0391206   .0259402    -1.51   0.132     -.090008    .0117668
           $6 trillion  |  -.0981379   .0266979    -3.68   0.000    -.1505117    -.045764
                        |
                  _cons |   .6140367    .034302    17.90   0.000     .5467458    .6813276
-----------------------------------------------------------------------------------------

. est sto round2

. 
. reg program_choice i.cat_a_trans b3.cat_a_distri b3.cat_a_tax i.cat_a_cost if screener_2
> plus==1 & (expand == 5| expand ==6), cluster(id)

Linear regression                               Number of obs     =      2,706
                                                F(13, 1352)       =      19.88
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0739
                                                Root MSE          =     .48241

                                            (Std. err. adjusted for 1,353 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |   -.038425   .0221948    -1.73   0.084    -.0819649    .0051149
Competed with each o..  |    .039448   .0229227     1.72   0.085    -.0055198    .0844159
                        |
           cat_a_distri |
  Lower income benefit  |   .0290868   .0302846     0.96   0.337    -.0303231    .0884967
Lower and middle inc..  |   .0203535   .0304809     0.67   0.504    -.0394414    .0801485
Higher and middle in..  |  -.1312862   .0297411    -4.41   0.000    -.1896299   -.0729426
 Higher income benefit  |  -.2089973   .0294536    -7.10   0.000     -.266777   -.1512177
                        |
              cat_a_tax |
   Higher inc pay more  |   .0758714   .0294681     2.57   0.010     .0180633    .1336796
Higher and middle in..  |   .0111592   .0296298     0.38   0.707    -.0469662    .0692845
Lower and middle inc..  |  -.0873244   .0291565    -3.00   0.003    -.1445214   -.0301274
    Lower inc pay more  |  -.1653274   .0293954    -5.62   0.000    -.2229931   -.1076618
                        |
             cat_a_cost |
           $3 trillion  |   -.050699   .0254683    -1.99   0.047    -.1006607   -.0007374
           $4 trillion  |  -.0649667   .0256535    -2.53   0.011    -.1152917   -.0146416
           $6 trillion  |  -.1086334   .0254596    -4.27   0.000    -.1585781   -.0586888
                        |
                  _cons |   .6431884   .0335354    19.18   0.000     .5774014    .7089755
-----------------------------------------------------------------------------------------

. est sto round3

. 
. reg program_choice i.cat_a_trans b3.cat_a_distri b3.cat_a_tax i.cat_a_cost if screener_2
> plus==1 & (expand == 7| expand ==8), cluster(id)

Linear regression                               Number of obs     =      2,706
                                                F(13, 1352)       =      18.06
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0727
                                                Root MSE          =     .48274

                                            (Std. err. adjusted for 1,353 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |   .0208813   .0226665     0.92   0.357    -.0235841    .0653467
Competed with each o..  |   .0475003   .0226627     2.10   0.036     .0030424    .0919582
                        |
           cat_a_distri |
  Lower income benefit  |   .0265419   .0293231     0.91   0.366    -.0309818    .0840656
Lower and middle inc..  |   .0864797   .0291888     2.96   0.003     .0292195    .1437399
Higher and middle in..  |  -.1071663   .0292708    -3.66   0.000    -.1645874   -.0497452
 Higher income benefit  |  -.1807135   .0295357    -6.12   0.000    -.2386543   -.1227726
                        |
              cat_a_tax |
   Higher inc pay more  |   .0221862   .0298874     0.74   0.458    -.0364445    .0808168
Higher and middle in..  |   .0120992   .0297497     0.41   0.684    -.0462615    .0704598
Lower and middle inc..  |  -.1865434   .0301542    -6.19   0.000    -.2456975   -.1273893
    Lower inc pay more  |  -.1509901   .0292276    -5.17   0.000    -.2083264   -.0936537
                        |
             cat_a_cost |
           $3 trillion  |  -.0047044   .0265904    -0.18   0.860    -.0568673    .0474585
           $4 trillion  |   -.032318   .0258798    -1.25   0.212     -.083087    .0184509
           $6 trillion  |  -.0686775   .0257292    -2.67   0.008     -.119151    -.018204
                        |
                  _cons |   .5958965   .0325813    18.29   0.000     .5319811     .659812
-----------------------------------------------------------------------------------------

. est sto round4

. 
. reg program_choice i.cat_a_trans b3.cat_a_distri b3.cat_a_tax i.cat_a_cost if screener_2
> plus==1 & (expand == 9| expand ==10), cluster(id)

Linear regression                               Number of obs     =      2,706
                                                F(13, 1352)       =      21.84
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0853
                                                Root MSE          =     .47943

                                            (Std. err. adjusted for 1,353 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |   .0124671   .0226495     0.55   0.582     -.031965    .0568991
Competed with each o..  |   .0610337   .0229281     2.66   0.008     .0160551    .1060122
                        |
           cat_a_distri |
  Lower income benefit  |   .0186145    .029955     0.62   0.534    -.0401488    .0773779
Lower and middle inc..  |   .0475312   .0302464     1.57   0.116    -.0118038    .1068661
Higher and middle in..  |  -.1376091   .0301822    -4.56   0.000    -.1968182      -.0784
 Higher income benefit  |  -.2549637   .0291209    -8.76   0.000    -.3120907   -.1978366
                        |
              cat_a_tax |
   Higher inc pay more  |   .0630514   .0297204     2.12   0.034     .0047483    .1213545
Higher and middle in..  |     .00571   .0290986     0.20   0.844    -.0513733    .0627933
Lower and middle inc..  |  -.1280675    .029739    -4.31   0.000    -.1864071    -.069728
    Lower inc pay more  |  -.1336398   .0289337    -4.62   0.000    -.1903997     -.07688
                        |
             cat_a_cost |
           $3 trillion  |   .0164364   .0264417     0.62   0.534    -.0354349    .0683077
           $4 trillion  |  -.0412529   .0260828    -1.58   0.114    -.0924201    .0099142
           $6 trillion  |  -.0662932   .0261705    -2.53   0.011    -.1176325   -.0149539
                        |
                  _cons |   .6041028   .0333174    18.13   0.000     .5387433    .6694623
-----------------------------------------------------------------------------------------

. est sto round5

. 
. reg program_choice i.cat_a_trans b3.cat_a_distri b3.cat_a_tax i.cat_a_cost if screener_2
> plus==1 & (expand == 11| expand ==12), cluster(id)

Linear regression                               Number of obs     =      2,706
                                                F(13, 1352)       =      23.72
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0864
                                                Root MSE          =     .47914

                                            (Std. err. adjusted for 1,353 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |   .0421945   .0230561     1.83   0.067    -.0030352    .0874242
Competed with each o..  |   .0717405   .0232323     3.09   0.002     .0261652    .1173158
                        |
           cat_a_distri |
  Lower income benefit  |   .0149747   .0295824     0.51   0.613    -.0430576    .0730071
Lower and middle inc..  |   .0256469    .030412     0.84   0.399    -.0340129    .0853067
Higher and middle in..  |  -.1715781   .0287876    -5.96   0.000    -.2280513   -.1151049
 Higher income benefit  |  -.2878264   .0277446   -10.37   0.000    -.3422535   -.2333993
                        |
              cat_a_tax |
   Higher inc pay more  |   .0239516   .0284597     0.84   0.400    -.0318783    .0797816
Higher and middle in..  |   .0219162   .0286221     0.77   0.444    -.0342324    .0780649
Lower and middle inc..  |   -.076513   .0293428    -2.61   0.009    -.1340754   -.0189507
    Lower inc pay more  |  -.1285169   .0295506    -4.35   0.000    -.1864869   -.0705468
                        |
             cat_a_cost |
           $3 trillion  |  -.0158334   .0264138    -0.60   0.549    -.0676498     .035983
           $4 trillion  |  -.0428414   .0262094    -1.63   0.102    -.0942569    .0085742
           $6 trillion  |  -.1064404    .025918    -4.11   0.000    -.1572843   -.0555965
                        |
                  _cons |   .6199569   .0338719    18.30   0.000     .5535097     .686404
-----------------------------------------------------------------------------------------

. est sto round6

. 
. reg program_choice i.cat_a_trans b3.cat_a_distri b3.cat_a_tax i.cat_a_cost if screener_2
> plus==1 & (expand == 13| expand ==14), cluster(id)

Linear regression                               Number of obs     =      2,706
                                                F(13, 1352)       =      18.28
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0731
                                                Root MSE          =     .48262

                                            (Std. err. adjusted for 1,353 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |  -.0114145   .0229674    -0.50   0.619    -.0564702    .0336411
Competed with each o..  |   .0053741   .0230358     0.23   0.816    -.0398158    .0505639
                        |
           cat_a_distri |
  Lower income benefit  |  -.0039038   .0303613    -0.13   0.898    -.0634642    .0556566
Lower and middle inc..  |   .0535985   .0298412     1.80   0.073    -.0049416    .1121386
Higher and middle in..  |  -.1631032   .0301417    -5.41   0.000    -.2222327   -.1039737
 Higher income benefit  |  -.2520875   .0291336    -8.65   0.000    -.3092395   -.1949356
                        |
              cat_a_tax |
   Higher inc pay more  |   .0367008   .0306774     1.20   0.232    -.0234796    .0968812
Higher and middle in..  |   .0241884   .0300847     0.80   0.422    -.0348294    .0832063
Lower and middle inc..  |  -.0896229   .0291164    -3.08   0.002    -.1467411   -.0325047
    Lower inc pay more  |  -.1098799     .02959    -3.71   0.000    -.1679273   -.0518326
                        |
             cat_a_cost |
           $3 trillion  |  -.0173983   .0260482    -0.67   0.504    -.0684977     .033701
           $4 trillion  |  -.0427835   .0262107    -1.63   0.103    -.0942015    .0086345
           $6 trillion  |  -.0974453    .026521    -3.67   0.000     -.149472   -.0454185
                        |
                  _cons |   .6421361   .0342253    18.76   0.000     .5749957    .7092765
-----------------------------------------------------------------------------------------

. est sto round7

. 
. reg program_choice i.cat_a_trans b3.cat_a_distri b3.cat_a_tax i.cat_a_cost if screener_2
> plus==1 & (expand == 15| expand ==16), cluster(id)

Linear regression                               Number of obs     =      2,706
                                                F(13, 1352)       =      24.66
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0870
                                                Root MSE          =     .47901

                                            (Std. err. adjusted for 1,353 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |    .020695   .0233826     0.89   0.376    -.0251752    .0665651
Competed with each o..  |   .0451022   .0230209     1.96   0.050    -.0000584    .0902628
                        |
           cat_a_distri |
  Lower income benefit  |  -.0231304   .0303866    -0.76   0.447    -.0827404    .0364796
Lower and middle inc..  |   .0243151   .0283639     0.86   0.391    -.0313269    .0799571
Higher and middle in..  |  -.1379349   .0302661    -4.56   0.000    -.1973085   -.0785613
 Higher income benefit  |  -.3023323   .0279483   -10.82   0.000     -.357159   -.2475057
                        |
              cat_a_tax |
   Higher inc pay more  |   .0467856   .0289664     1.62   0.107    -.0100382    .1036095
Higher and middle in..  |   .0153851   .0283448     0.54   0.587    -.0402194    .0709896
Lower and middle inc..  |  -.1147774    .029443    -3.90   0.000    -.1725362   -.0570185
    Lower inc pay more  |  -.1115492    .029377    -3.80   0.000    -.1691787   -.0539198
                        |
             cat_a_cost |
           $3 trillion  |  -.0157447   .0260008    -0.61   0.545    -.0667511    .0352617
           $4 trillion  |   -.079053   .0253966    -3.11   0.002     -.128874    -.029232
           $6 trillion  |  -.0960518   .0264462    -3.63   0.000    -.1479318   -.0441719
                        |
                  _cons |   .6392149   .0340167    18.79   0.000     .5724837     .705946
-----------------------------------------------------------------------------------------

. est sto round8

. 
. reg program_choice i.cat_a_trans b3.cat_a_distri b3.cat_a_tax i.cat_a_cost if screener_2
> plus==1 & (expand == 17| expand ==18), cluster(id)

Linear regression                               Number of obs     =      2,706
                                                F(13, 1352)       =      20.26
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0765
                                                Root MSE          =     .48175

                                            (Std. err. adjusted for 1,353 clusters in id)
-----------------------------------------------------------------------------------------
                        |               Robust
         program_choice | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
            cat_a_trans |
Phased out over five..  |   .0081828   .0228258     0.36   0.720     -.036595    .0529607
Competed with each o..  |   .0261264   .0230825     1.13   0.258     -.019155    .0714079
                        |
           cat_a_distri |
  Lower income benefit  |    .021657   .0304844     0.71   0.478    -.0381449    .0814588
Lower and middle inc..  |   .0866668   .0304184     2.85   0.004     .0269945    .1463391
Higher and middle in..  |  -.1443443   .0296629    -4.87   0.000    -.2025347   -.0861539
 Higher income benefit  |    -.23495   .0289803    -8.11   0.000    -.2918012   -.1780988
                        |
              cat_a_tax |
   Higher inc pay more  |   .0444902    .028822     1.54   0.123    -.0120506     .101031
Higher and middle in..  |    .024151   .0300805     0.80   0.422    -.0348586    .0831606
Lower and middle inc..  |  -.0724772   .0300975    -2.41   0.016    -.1315201   -.0134344
    Lower inc pay more  |  -.0997214   .0298111    -3.35   0.001    -.1582023   -.0412404
                        |
             cat_a_cost |
           $3 trillion  |  -.0478968   .0267525    -1.79   0.074    -.1003777    .0045841
           $4 trillion  |  -.0509903   .0280128    -1.82   0.069    -.1059435     .003963
           $6 trillion  |  -.1077819    .026614    -4.05   0.000    -.1599911   -.0555727
                        |
                  _cons |   .6205059   .0349188    17.77   0.000      .552005    .6890068
-----------------------------------------------------------------------------------------

. est sto round9

. 
. **Making coefplot (Figure C.10)
. coefplot round1, bylabel(R1)|| round2, bylabel(R2)|| round3, bylabel(R3)|| round4, bylab
> el(R4)|| round5, bylabel(R5)|| round6, bylabel(R6)|| round7, bylabel(R7)|| round8, bylab
> el(R8)|| round9, bylabel(R9)||, drop(_cons *.cat_a_trans *.cat_a_cost) keep(*:) omitted 
> baselevels  xline(0, lpattern(-) lcolor(black)) xlabel(-.3(.3).3) coeflabels(1.cat_a_dis
> tri = "Lower-income citizens" 2.cat_a_distri = "Lower- and middle-income citizens" 3.cat
> _a_distri = "All income groups" 4.cat_a_distri = "Higher- and middle-income citizens" 5.
> cat_a_distri = "Higher-income citizens" 1.cat_a_tax = "Higher-income households" 2.cat_a
> _tax = "Higher- and middle-income households" 3.cat_a_tax = "All income groups" 4.cat_a_
> tax = "Lower- and middle-income households" 5.cat_a_tax = "Lower-income households", lab
> size(vsmall)) headings(1.cat_a_distri = "{bf:This policy benefits most for}" 1.cat_a_tax
>  = "{bf: The main contributors to tax sources are}", nogap)subtitle(, fcolor (gs15)) sca
> le(0.7) xtitle({bf:Estimated AMCEs (forced choice)}) byopts(compact cols(3))

. gr_edit .b2title.style.editstyle size(small) editcopy

. gr_edit .b2title.text.Arrpush Excludes least attentive respondents

. gr export Figures/choice_amce_2plus_round.png, as(png) replace
file Figures/choice_amce_2plus_round.png saved as PNG format

. 
. log close
      name:  <unnamed>
       log:  E:\PHD\Research\Ideological Asymmetry and Public Attitudes Toward Redistribut
> ion\Data\Lucid Data\Replication data\conjoint_analysis.log
  log type:  text
 closed on:  14 Oct 2024, 16:54:40
------------------------------------------------------------------------------------------
